awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
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Language: Python
last commit: about 2 months ago
Linked from 28 awesome lists
Awesome Machine Learning / APL | |||
| naive-apl | 22 | over 6 years ago | Naive Bayesian Classifier implementation in APL |
Awesome Machine Learning / C | |||
| Darknet | 25,739 | 5 months ago | Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation |
| Recommender | 264 | about 2 years ago | A C library for product recommendations/suggestions using collaborative filtering (CF) |
| Hybrid Recommender System | 15 | almost 8 years ago | A hybrid recommender system based upon scikit-learn algorithms |
| neonrvm | 39 | about 4 years ago | neonrvm is an open source machine learning library based on RVM technique. It's written in C programming language and comes with Python programming language bindings |
| cONNXr | 191 | 11 months ago | An runtime written in pure C (99) with zero dependencies focused on small embedded devices. Run inference on your machine learning models no matter which framework you train it with. Easy to install and compiles everywhere, even in very old devices |
| libonnx | 576 | over 1 year ago | A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support |
| CCV | 7,078 | 7 days ago | C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library |
| VLFeat | VLFeat is an open and portable library of computer vision algorithms, which has a Matlab toolbox | ||
Awesome Machine Learning / C++ | |||
| DLib | DLib has C++ and Python interfaces for face detection and training general object detectors | ||
| EBLearn | Eblearn is an object-oriented C++ library that implements various machine learning models | ||
| OpenCV | OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS | ||
| VIGRA | 410 | 15 days ago | VIGRA is a genertic cross-platform C++ computer vision and machine learning library for volumes of arbitrary dimensionality with Python bindings |
| Openpose | 30,875 | 2 months ago | A real-time multi-person keypoint detection library for body, face, hands, and foot estimation |
| Speedster | 8,375 | 3 months ago | -Automatically apply SOTA optimization techniques to achieve the maximum inference speed-up on your hardware. [DEEP LEARNING] |
| BanditLib | 137 | 11 months ago | A simple Multi-armed Bandit library |
| Caffe | 34,057 | 2 months ago | A deep learning framework developed with cleanliness, readability, and speed in mind. [DEEP LEARNING] |
| CatBoost | 8,025 | 3 days ago | General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation |
| CNTK | 17,506 | over 1 year ago | The Computational Network Toolkit (CNTK) by Microsoft Research, is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph |
| CUDA | This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING] | ||
| DeepDetect | 2,515 | 10 days ago | A machine learning API and server written in C++11. It makes state of the art machine learning easy to work with and integrate into existing applications |
| Distributed Machine learning Tool Kit (DMTK) | A distributed machine learning (parameter server) framework by Microsoft. Enables training models on large data sets across multiple machines. Current tools bundled with it include: LightLDA and Distributed (Multisense) Word Embedding | ||
| DLib | A suite of ML tools designed to be easy to imbed in other applications | ||
| DSSTNE | 4,411 | over 4 years ago | A software library created by Amazon for training and deploying deep neural networks using GPUs which emphasizes speed and scale over experimental flexibility |
| DyNet | 3,420 | 10 months ago | A dynamic neural network library working well with networks that have dynamic structures that change for every training instance. Written in C++ with bindings in Python |
| Fido | 433 | almost 5 years ago | A highly-modular C++ machine learning library for embedded electronics and robotics |
| igraph | General purpose graph library | ||
| Intel® oneAPI Data Analytics Library | 607 | 10 days ago | A high performance software library developed by Intel and optimized for Intel's architectures. Library provides algorithmic building blocks for all stages of data analytics and allows to process data in batch, online and distributed modes |
| LightGBM | 16,550 | 13 days ago | Microsoft's fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks |
| libfm | 1,487 | over 4 years ago | A generic approach that allows to mimic most factorization models by feature engineering |
| MLDB | The Machine Learning Database is a database designed for machine learning. Send it commands over a RESTful API to store data, explore it using SQL, then train machine learning models and expose them as APIs | ||
| mlpack | A scalable C++ machine learning library | ||
| MXNet | 20,772 | 12 months ago | Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more |
| N2D2 | 146 | 3 months ago | CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms |
| oneDNN | 3,585 | 10 days ago | An open-source cross-platform performance library for deep learning applications |
| ParaMonte | 258 | 12 days ago | A general-purpose library with C/C++ interface for Bayesian data analysis and visualization via serial/parallel Monte Carlo and MCMC simulations. Documentation can be found |
| proNet-core | 3 | over 5 years ago | A general-purpose network embedding framework: pair-wise representations optimization Network Edit |
| PyCaret | 8,850 | about 1 month ago | An open-source, low-code machine learning library in Python that automates machine learning workflows |
| PyCUDA | Python interface to CUDA | ||
| ROOT | A modular scientific software framework. It provides all the functionalities needed to deal with big data processing, statistical analysis, visualization and storage | ||
| shark | A fast, modular, feature-rich open-source C++ machine learning library | ||
| Shogun | 3,028 | 10 months ago | The Shogun Machine Learning Toolbox |
| sofia-ml | Suite of fast incremental algorithms | ||
| Stan | A probabilistic programming language implementing full Bayesian statistical inference with Hamiltonian Monte Carlo sampling | ||
| Timbl | A software package/C++ library implementing several memory-based learning algorithms, among which IB1-IG, an implementation of k-nearest neighbor classification, and IGTree, a decision-tree approximation of IB1-IG. Commonly used for NLP | ||
| Vowpal Wabbit (VW) | 8,468 | 2 months ago | A fast out-of-core learning system |
| Warp-CTC | 4,064 | 7 months ago | A fast parallel implementation of Connectionist Temporal Classification (CTC), on both CPU and GPU |
| XGBoost | 26,140 | 4 days ago | A parallelized optimized general purpose gradient boosting library |
| ThunderGBM | 692 | 8 months ago | A fast library for GBDTs and Random Forests on GPUs |
| ThunderSVM | 1,562 | 6 months ago | A fast SVM library on GPUs and CPUs |
| LKYDeepNN | 49 | over 3 years ago | A header-only C++11 Neural Network library. Low dependency, native traditional chinese document |
| xLearn | 3,085 | about 1 year ago | A high performance, easy-to-use, and scalable machine learning package, which can be used to solve large-scale machine learning problems. xLearn is especially useful for solving machine learning problems on large-scale sparse data, which is very common in Internet services such as online advertising and recommender systems |
| Featuretools | 7,223 | 15 days ago | A library for automated feature engineering. It excels at transforming transactional and relational datasets into feature matrices for machine learning using reusable feature engineering "primitives" |
| skynet | 61 | about 3 years ago | A library for learning neural networks, has C-interface, net set in JSON. Written in C++ with bindings in Python, C++ and C# |
| Feast | 5,514 | 5 days ago | A feature store for the management, discovery, and access of machine learning features. Feast provides a consistent view of feature data for both model training and model serving |
| Hopsworks | 1,139 | 23 days ago | A data-intensive platform for AI with the industry's first open-source feature store. The Hopsworks Feature Store provides both a feature warehouse for training and batch based on Apache Hive and a feature serving database, based on MySQL Cluster, for online applications |
| Polyaxon | 3,555 | 7 days ago | A platform for reproducible and scalable machine learning and deep learning |
| QuestDB | A relational column-oriented database designed for real-time analytics on time series and event data | ||
| Phoenix | Uncover insights, surface problems, monitor and fine tune your generative LLM, CV and tabular models | ||
| XAD | 238 | about 1 month ago | Comprehensive backpropagation tool for C++ |
| Truss | An open source framework for packaging and serving ML models | ||
| BLLIP Parser | 227 | almost 3 years ago | BLLIP Natural Language Parser (also known as the Charniak-Johnson parser) |
| colibri-core | 123 | 11 months ago | C++ library, command line tools, and Python binding for extracting and working with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way |
| CRF++ | Open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data & other Natural Language Processing tasks | ||
| CRFsuite | CRFsuite is an implementation of Conditional Random Fields (CRFs) for labeling sequential data | ||
| frog | 73 | 9 days ago | Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer |
| libfolia | 15 | 11 days ago | C++ library for the |
| MeTA | 693 | over 1 year ago | is a C++ Data Sciences Toolkit that facilitates mining big text data |
| MIT Information Extraction Toolkit | 2,917 | about 2 years ago | C, C++, and Python tools for named entity recognition and relation extraction |
| ucto | 65 | 11 days ago | Unicode-aware regular-expression based tokenizer for various languages. Tool and C++ library. Supports FoLiA format |
| Kaldi | 14,154 | 19 days ago | Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0. Kaldi is intended for use by speech recognition researchers |
| ToPS | 35 | 4 months ago | This is an object-oriented framework that facilitates the integration of probabilistic models for sequences over a user defined alphabet |
| grt | 861 | almost 5 years ago | The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition |
| RLtools | 195 | 11 days ago | The fastest deep reinforcement learning library for continuous control, implemented header-only in pure, dependency-free C++ (Python bindings available as well) |
Awesome Machine Learning / Common Lisp | |||
| mgl | 587 | over 1 year ago | Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes |
| mgl-gpr | 63 | over 1 year ago | Evolutionary algorithms |
| cl-libsvm | 16 | almost 3 years ago | Wrapper for the libsvm support vector machine library |
| cl-online-learning | 50 | over 2 years ago | Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression) |
| cl-random-forest | 59 | about 2 years ago | Implementation of Random Forest in Common Lisp |
Awesome Machine Learning / Clojure | |||
| Clojure-openNLP | 752 | almost 6 years ago | Natural Language Processing in Clojure (opennlp) |
| Infections-clj | 216 | 5 months ago | Rails-like inflection library for Clojure and ClojureScript |
| scicloj.ml | 209 | 8 months ago | A idiomatic Clojure machine learning library based on tech.ml.dataset with a unique approach for immutable data processing pipelines |
| clj-ml | 136 | almost 3 years ago | A machine learning library for Clojure built on top of Weka and friends |
| clj-boost | Wrapper for XGBoost | ||
| Touchstone | 138 | 7 months ago | Clojure A/B testing library |
| Clojush | 331 | over 1 year ago | The Push programming language and the PushGP genetic programming system implemented in Clojure |
| lambda-ml | 76 | almost 6 years ago | Simple, concise implementations of machine learning techniques and utilities in Clojure |
| Infer | 176 | almost 9 years ago | Inference and machine learning in Clojure |
| Encog | 137 | over 8 years ago | Clojure wrapper for Encog (v3) (Machine-Learning framework that specializes in neural-nets) |
| Fungp | 100 | over 10 years ago | A genetic programming library for Clojure |
| Statistiker | 64 | about 9 years ago | Basic Machine Learning algorithms in Clojure |
| clortex | 182 | almost 9 years ago | General Machine Learning library using Numenta’s Cortical Learning Algorithm |
| comportex | 153 | about 8 years ago | Functionally composable Machine Learning library using Numenta’s Cortical Learning Algorithm |
| MXNet | Bindings to Apache MXNet - part of the MXNet project | ||
| Deep Diamond | 428 | 3 months ago | A fast Clojure Tensor & Deep Learning library |
| jutsu.ai | 100 | over 6 years ago | Clojure wrapper for deeplearning4j with some added syntactic sugar |
| cortex | 1,273 | about 6 years ago | Neural networks, regression and feature learning in Clojure |
| Flare | 284 | over 5 years ago | Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.) |
| dl4clj | 99 | about 6 years ago | Clojure wrapper for Deeplearning4j |
| tech.ml.dataset | 660 | 13 days ago | Clojure dataframe library and pipeline for data processing and machine learning |
| Tablecloth | 289 | about 1 month ago | A dataframe grammar wrapping tech.ml.dataset, inspired by several R libraries |
| Panthera | 189 | over 4 years ago | Clojure API wrapping Python's Pandas library |
| Incanter | Incanter is a Clojure-based, R-like platform for statistical computing and graphics | ||
| PigPen | 566 | over 1 year ago | Map-Reduce for Clojure |
| Geni | 284 | 10 months ago | a Clojure dataframe library that runs on Apache Spark |
| Hanami | 389 | 7 months ago | : Clojure(Script) library and framework for creating interactive visualization applications based in Vega-Lite (VGL) and/or Vega (VG) specifications. Automatic framing and layouts along with a powerful templating system for abstracting visualization specs |
| Saite | 136 | 11 months ago | Clojure(Script) client/server application for dynamic interactive explorations and the creation of live shareable documents capturing them using Vega/Vega-Lite, CodeMirror, markdown, and LaTeX |
| Oz | 828 | 6 months ago | Data visualisation using Vega/Vega-Lite and Hiccup, and a live-reload platform for literate-programming |
| Envision | 78 | over 6 years ago | Clojure Data Visualisation library, based on Statistiker and D3 |
| Pink Gorilla Notebook | 103 | over 3 years ago | A Clojure/Clojurescript notebook application/-library based on Gorilla-REPL |
| clojupyter | 831 | 2 months ago | A Jupyter kernel for Clojure - run Clojure code in Jupyter Lab, Notebook and Console |
| notespace | 148 | 9 months ago | Notebook experience in your Clojure namespace |
| Delight | 341 | 4 months ago | A listener that streams your spark events logs to delight, a free and improved spark UI |
| Java Interop | Clojure has Native Java Interop from which Java's ML ecosystem can be accessed | ||
| JavaScript Interop | ClojureScript has Native JavaScript Interop from which JavaScript's ML ecosystem can be accessed | ||
| Libpython-clj | 1,075 | 21 days ago | Interop with Python |
| ClojisR | 150 | 13 days ago | Interop with R and Renjin (R on the JVM) |
| Neanderthal | Fast Clojure Matrix Library (native CPU, GPU, OpenCL, CUDA) | ||
| kixistats | 359 | 24 days ago | A library of statistical distribution sampling and transducing functions |
| fastmath | 225 | 16 days ago | A collection of functions for mathematical and statistical computing, macine learning, etc., wrapping several JVM libraries |
| matlib | 25 | about 4 years ago | A Clojure library of optimisation and control theory tools and convenience functions based on Neanderthal |
| Scicloj | Curated list of ML related resources for Clojure | ||
Awesome Machine Learning / Crystal | |||
| machine | 44 | about 3 years ago | Simple machine learning algorithm |
| crystal-fann | 83 | almost 3 years ago | FANN (Fast Artificial Neural Network) binding |
Awesome Machine Learning / Elixir | |||
| Simple Bayes | 392 | about 7 years ago | A Simple Bayes / Naive Bayes implementation in Elixir |
| emel | 102 | about 2 years ago | A simple and functional machine learning library written in Elixir |
| Tensorflex | 308 | over 5 years ago | Tensorflow bindings for the Elixir programming language |
| Stemmer | 150 | 9 months ago | An English (Porter2) stemming implementation in Elixir |
Awesome Machine Learning / Erlang | |||
| Disco | 1,631 | over 6 years ago | Map Reduce in Erlang |
Awesome Machine Learning / Fortran | |||
| neural-fortran | 400 | 22 days ago | A parallel neural net microframework. Read the paper |
| ParaMonte | 258 | 12 days ago | A general-purpose Fortran library for Bayesian data analysis and visualization via serial/parallel Monte Carlo and MCMC simulations. Documentation can be found |
Awesome Machine Learning / Go | |||
| Cybertron | 281 | 4 months ago | Cybertron: the home planet of the Transformers in Go |
| snowball | 44 | 12 months ago | Snowball Stemmer for Go |
| word-embedding | 472 | over 1 year ago | Word Embeddings: the full implementation of word2vec, GloVe in Go |
| sentences | 436 | 7 months ago | Golang implementation of Punkt sentence tokenizer |
| go-ngram | 114 | over 8 years ago | In-memory n-gram index with compression |
| paicehusk | 29 | almost 11 years ago | Golang implementation of the Paice/Husk Stemming Algorithm |
| go-porterstemmer | 190 | over 3 years ago | A native Go clean room implementation of the Porter Stemming algorithm |
| Spago | 1,747 | 9 months ago | Self-contained Machine Learning and Natural Language Processing library in Go |
| birdland | 45 | about 5 years ago | A recommendation library in Go |
| eaopt | 885 | 7 months ago | An evolutionary optimization library |
| leaves | 426 | 3 months ago | A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM |
| gobrain | 558 | almost 4 years ago | Neural Networks written in Go |
| go-featureprocessing | 118 | about 1 month ago | Fast and convenient feature processing for low latency machine learning in Go |
| go-mxnet-predictor | 55 | over 6 years ago | Go binding for MXNet c_predict_api to do inference with a pre-trained model |
| go-ml-benchmarks | 31 | 5 months ago | — benchmarks of machine learning inference for Go |
| go-ml-transpiler | An open source Go transpiler for machine learning models | ||
| golearn | 9,268 | 9 months ago | Machine learning for Go |
| goml | 1,561 | about 2 years ago | Machine learning library written in pure Go |
| gorgonia | 5,495 | about 2 months ago | Deep learning in Go |
| goro | 371 | 7 months ago | A high-level machine learning library in the vein of Keras |
| gorse | 8,493 | about 2 months ago | An offline recommender system backend based on collaborative filtering written in Go |
| therfoo | 18 | about 2 years ago | An embedded deep learning library for Go |
| neat | 71 | over 6 years ago | Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT) |
| go-pr | 65 | over 11 years ago | Pattern recognition package in Go lang |
| go-ml | 203 | over 7 years ago | Linear / Logistic regression, Neural Networks, Collaborative Filtering and Gaussian Multivariate Distribution |
| GoNN | 357 | over 8 years ago | GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN |
| bayesian | 801 | 11 months ago | Naive Bayesian Classification for Golang |
| go-galib | 198 | almost 9 years ago | Genetic Algorithms library written in Go / Golang |
| Cloudforest | 739 | over 2 years ago | Ensembles of decision trees in Go/Golang |
| go-dnn | 5 | over 4 years ago | Deep Neural Networks for Golang (powered by MXNet) |
| go-geom | 843 | about 2 months ago | Go library to handle geometries |
| gogeo | 1,678 | about 2 months ago | Spherical geometry in Go |
| dataframe-go | 1,167 | over 2 years ago | Dataframes for machine-learning and statistics (similar to pandas) |
| gota | 3,038 | about 1 year ago | Dataframes |
| gonum/mat | A linear algebra package for Go | ||
| gonum/optimize | Implementations of optimization algorithms | ||
| gonum/plot | A plotting library | ||
| gonum/stat | A statistics library | ||
| SVGo | 2,144 | almost 2 years ago | The Go Language library for SVG generation |
| glot | 395 | over 1 year ago | Glot is a plotting library for Golang built on top of gnuplot |
| globe | 1,591 | 8 months ago | Globe wireframe visualization |
| gonum/graph | General-purpose graph library | ||
| go-graph | 94 | almost 9 years ago | Graph library for Go/Golang language |
| RF | 114 | about 10 years ago | Random forests implementation in Go |
| GoCV | 6,626 | 1 day ago | Package for computer vision using OpenCV 4 and beyond |
| gold | 340 | almost 4 years ago | A reinforcement learning library |
| stable-baselines3 | 8,836 | 17 days ago | PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms |
Awesome Machine Learning / Haskell | |||
| haskell-ml | 56 | over 10 years ago | Haskell implementations of various ML algorithms |
| HLearn | 1,625 | over 8 years ago | a suite of libraries for interpreting machine learning models according to their algebraic structure |
| hnn | 112 | over 7 years ago | Haskell Neural Network library |
| hopfield-networks | 16 | over 10 years ago | Hopfield Networks for unsupervised learning in Haskell |
| DNNGraph | 698 | almost 9 years ago | A DSL for deep neural networks |
| LambdaNet | 377 | over 8 years ago | Configurable Neural Networks in Haskell |
Awesome Machine Learning / Java | |||
| Cortical.io | Retina: an API performing complex NLP operations (disambiguation, classification, streaming text filtering, etc...) as quickly and intuitively as the brain | ||
| IRIS | FREE NLP, Retina API Analysis Tool (written in JavaFX!) - | ||
| CoreNLP | Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words | ||
| Stanford Parser | A natural language parser is a program that works out the grammatical structure of sentences | ||
| Stanford POS Tagger | A Part-Of-Speech Tagger (POS Tagger) | ||
| Stanford Name Entity Recognizer | Stanford NER is a Java implementation of a Named Entity Recognizer | ||
| Stanford Word Segmenter | Tokenization of raw text is a standard pre-processing step for many NLP tasks | ||
| Tregex, Tsurgeon and Semgrex | Tregex is a utility for matching patterns in trees, based on tree relationships and regular expression matches on nodes (the name is short for "tree regular expressions") | ||
| Stanford Phrasal: A Phrase-Based Translation System | |||
| Stanford English Tokenizer | Stanford Phrasal is a state-of-the-art statistical phrase-based machine translation system, written in Java | ||
| Stanford Tokens Regex | A tokenizer divides text into a sequence of tokens, which roughly correspond to "words" | ||
| Stanford Temporal Tagger | SUTime is a library for recognizing and normalizing time expressions | ||
| Stanford SPIED | Learning entities from unlabeled text starting with seed sets using patterns in an iterative fashion | ||
| Twitter Text Java | 3,072 | 5 months ago | A Java implementation of Twitter's text processing library |
| MALLET | A Java-based package for statistical natural language processing, document classification, clustering, topic modelling, information extraction, and other machine learning applications to text | ||
| OpenNLP | A machine learning based toolkit for the processing of natural language text | ||
| LingPipe | A tool kit for processing text using computational linguistics | ||
| ClearTK | 129 | over 1 year ago | ClearTK provides a framework for developing statistical natural language processing (NLP) components in Java and is built on top of Apache UIMA |
| Apache cTAKES | Apache Clinical Text Analysis and Knowledge Extraction System (cTAKES) is an open-source natural language processing system for information extraction from electronic medical record clinical free-text | ||
| NLP4J | 148 | over 3 years ago | The NLP4J project provides software and resources for natural language processing. The project started at the Center for Computational Language and EducAtion Research, and is currently developed by the Center for Language and Information Research at Emory University |
| CogcompNLP | 470 | about 1 year ago | This project collects a number of core libraries for Natural Language Processing (NLP) developed in the University of Illinois' Cognitive Computation Group, for example which provides a set of NLP-friendly data structures and a number of NLP-related utilities that support writing NLP applications, running experiments, etc, a library for feature extraction from illinois-core-utilities data structures and many other packages |
| aerosolve | 4,795 | 11 days ago | A machine learning library by Airbnb designed from the ground up to be human friendly |
| AMIDST Toolbox | A Java Toolbox for Scalable Probabilistic Machine Learning | ||
| Chips-n-Salsa | 55 | 12 days ago | A Java library for genetic algorithms, evolutionary computation, and stochastic local search, with a focus on self-adaptation / self-tuning, as well as parallel execution |
| Datumbox | 1,085 | 10 months ago | Machine Learning framework for rapid development of Machine Learning and Statistical applications |
| ELKI | Java toolkit for data mining. (unsupervised: clustering, outlier detection etc.) | ||
| Encog | 742 | over 1 year ago | An advanced neural network and machine learning framework. Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trainings using multithreaded resilient propagation. Encog can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train neural networks |
| FlinkML in Apache Flink | Distributed machine learning library in Flink | ||
| H2O | 6,873 | 5 days ago | ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON |
| htm.java | 310 | almost 3 years ago | General Machine Learning library using Numenta’s Cortical Learning Algorithm |
| liblinear-java | 305 | over 2 years ago | Java version of liblinear |
| Mahout | 2,135 | 15 days ago | Distributed machine learning |
| Meka | An open source implementation of methods for multi-label classification and evaluation (extension to Weka) | ||
| MLlib in Apache Spark | Distributed machine learning library in Spark | ||
| Hydrosphere Mist | 326 | almost 4 years ago | a service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services |
| Neuroph | Neuroph is lightweight Java neural network framework | ||
| ORYX | 1,786 | about 3 years ago | Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning |
| Samoa | SAMOA is a framework that includes distributed machine learning for data streams with an interface to plug-in different stream processing platforms | ||
| RankLib | RankLib is a library of learning to rank algorithms | ||
| rapaio | 68 | 12 days ago | statistics, data mining and machine learning toolbox in Java |
| RapidMiner | RapidMiner integration into Java code | ||
| Stanford Classifier | A classifier is a machine learning tool that will take data items and place them into one of k classes | ||
| Smile | Statistical Machine Intelligence & Learning Engine | ||
| SystemML | 1,030 | 8 days ago | flexible, scalable machine learning (ML) language |
| Tribou | A machine learning library written in Java by Oracle | ||
| Weka | Weka is a collection of machine learning algorithms for data mining tasks | ||
| LBJava | 13 | over 2 years ago | Learning Based Java is a modelling language for the rapid development of software systems, offers a convenient, declarative syntax for classifier and constraint definition directly in terms of the objects in the programmer's application |
| knn-java-library | 7 | about 8 years ago | Just a simple implementation of K-Nearest Neighbors algorithm using with a bunch of similarity measures |
| CMU Sphinx | Open Source Toolkit For Speech Recognition purely based on Java speech recognition library | ||
| Flink | Open source platform for distributed stream and batch data processing | ||
| Hadoop | 14,662 | 12 days ago | Hadoop/HDFS |
| Onyx | 2,049 | about 5 years ago | Distributed, masterless, high performance, fault tolerant data processing. Written entirely in Clojure |
| Spark | 39,387 | 5 days ago | Spark is a fast and general engine for large-scale data processing |
| Storm | Storm is a distributed realtime computation system | ||
| Impala | 31 | almost 2 years ago | Real-time Query for Hadoop |
| DataMelt | Mathematics software for numeric computation, statistics, symbolic calculations, data analysis and data visualization | ||
| Dr. Michael Thomas Flanagan's Java Scientific Library. | |||
| Deeplearning4j | 13,616 | 22 days ago | Scalable deep learning for industry with parallel GPUs |
| Keras Beginner Tutorial | Friendly guide on using Keras to implement a simple Neural Network in Python | ||
| deepjavalibrary/djl | 4,078 | 15 days ago | Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning, designed to be easy to get started with and simple to use for Java developers |
Awesome Machine Learning / JavaScript | |||
| Twitter-text | 3,072 | 5 months ago | A JavaScript implementation of Twitter's text processing library |
| natural | 10,583 | about 2 months ago | General natural language facilities for node |
| Knwl.js | 5,293 | about 1 year ago | A Natural Language Processor in JS |
| Retext | 2,355 | 5 months ago | Extensible system for analyzing and manipulating natural language |
| NLP Compromise | 11,418 | 12 days ago | Natural Language processing in the browser |
| nlp.js | 6,237 | 4 months ago | An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more |
| D3.js | |||
| High Charts | |||
| NVD3.js | |||
| dc.js | |||
| chartjs | |||
| dimple | |||
| amCharts | |||
| D3xter | 340 | almost 4 years ago | Straight forward plotting built on D3 |
| statkit | 51 | almost 10 years ago | Statistics kit for JavaScript |
| datakit | 291 | over 7 years ago | A lightweight framework for data analysis in JavaScript |
| science.js | 885 | over 3 years ago | Scientific and statistical computing in JavaScript |
| Z3d | 88 | over 9 years ago | Easily make interactive 3d plots built on Three.js |
| Sigma.js | JavaScript library dedicated to graph drawing | ||
| C3.js | customizable library based on D3.js for easy chart drawing | ||
| Datamaps | Customizable SVG map/geo visualizations using D3.js | ||
| ZingChart | library written on Vanilla JS for big data visualization | ||
| cheminfo | Platform for data visualization and analysis, using the project | ||
| Learn JS Data | |||
| AnyChart | |||
| FusionCharts | |||
| Nivo | built on top of the awesome d3 and Reactjs libraries | ||
| Auto ML | 1,642 | over 3 years ago | Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file! |
| Convnet.js | ConvNetJS is a JavaScript library for training Deep Learning models[DEEP LEARNING] | ||
| Clusterfck | Agglomerative hierarchical clustering implemented in JavaScript for Node.js and the browser | ||
| Clustering.js | 30 | about 10 years ago | Clustering algorithms implemented in JavaScript for Node.js and the browser |
| Decision Trees | 209 | 4 months ago | NodeJS Implementation of Decision Tree using ID3 Algorithm |
| DN2A | 462 | 12 months ago | Digital Neural Networks Architecture |
| figue | K-means, fuzzy c-means and agglomerative clustering | ||
| Gaussian Mixture Model | 26 | about 1 year ago | Unsupervised machine learning with multivariate Gaussian mixture model |
| Node-fann | 186 | over 7 years ago | FANN (Fast Artificial Neural Network Library) bindings for Node.js |
| Keras.js | 4,957 | over 2 years ago | Run Keras models in the browser, with GPU support provided by WebGL 2 |
| Kmeans.js | 44 | about 11 years ago | Simple JavaScript implementation of the k-means algorithm, for node.js and the browser |
| LDA.js | 291 | about 2 months ago | LDA topic modelling for Node.js |
| Learning.js | 65 | over 5 years ago | JavaScript implementation of logistic regression/c4.5 decision tree |
| machinelearn.js | 538 | almost 2 years ago | Machine Learning library for the web, Node.js and developers |
| mil-tokyo | List of several machine learning libraries | ||
| Node-SVM | 297 | over 5 years ago | Support Vector Machine for Node.js |
| Brain | 8,006 | about 4 years ago | Neural networks in JavaScript |
| Brain.js | 14,352 | 9 days ago | Neural networks in JavaScript - continued community fork of |
| Bayesian-Bandit | 45 | about 7 years ago | Bayesian bandit implementation for Node and the browser |
| Synaptic | 6,915 | about 4 years ago | Architecture-free neural network library for Node.js and the browser |
| kNear | 48 | almost 7 years ago | JavaScript implementation of the k nearest neighbors algorithm for supervised learning |
| NeuralN | 275 | over 9 years ago | C++ Neural Network library for Node.js. It has advantage on large dataset and multi-threaded training |
| kalman | 114 | about 9 years ago | Kalman filter for JavaScript |
| shaman | 109 | over 8 years ago | Node.js library with support for both simple and multiple linear regression |
| ml.js | 2,537 | 8 months ago | Machine learning and numerical analysis tools for Node.js and the Browser! |
| ml5 | 6,456 | 3 months ago | Friendly machine learning for the web! |
| Pavlov.js | 499 | over 6 years ago | Reinforcement learning using Markov Decision Processes |
| MXNet | 20,772 | 12 months ago | Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more |
| TensorFlow.js | A WebGL accelerated, browser based JavaScript library for training and deploying ML models | ||
| JSMLT | 25 | almost 2 years ago | Machine learning toolkit with classification and clustering for Node.js; supports visualization (see ) |
| xgboost-node | 38 | almost 7 years ago | Run XGBoost model and make predictions in Node.js |
| Netron | 27,736 | 4 days ago | Visualizer for machine learning models |
| tensor-js | 36 | over 3 years ago | A deep learning library for the browser, accelerated by WebGL and WebAssembly |
| WebDNN | 1,973 | over 1 year ago | Fast Deep Neural Network JavaScript Framework. WebDNN uses next generation JavaScript API, WebGPU for GPU execution, and WebAssembly for CPU execution |
| WebNN | A new web standard that allows web apps and frameworks to accelerate deep neural networks with on-device hardware such as GPUs, CPUs, or purpose-built AI accelerators | ||
| stdlib | 4,336 | 8 days ago | A standard library for JavaScript and Node.js, with an emphasis on numeric computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more |
| sylvester | 1,157 | over 5 years ago | Vector and Matrix math for JavaScript |
| simple-statistics | 3,387 | about 1 month ago | A JavaScript implementation of descriptive, regression, and inference statistics. Implemented in literate JavaScript with no dependencies, designed to work in all modern browsers (including IE) as well as in Node.js |
| regression-js | 940 | almost 2 years ago | A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data |
| Lyric | 42 | about 11 years ago | Linear Regression library |
| GreatCircle | 78 | over 2 years ago | Library for calculating great circle distance |
| MLPleaseHelp | 5 | over 5 years ago | MLPleaseHelp is a simple ML resource search engine. You can use this search engine right now at , provided via GitHub Pages |
| Pipcook | 2,535 | 4 days ago | A JavaScript application framework for machine learning and its engineering |
| The Bot | 6 | over 6 years ago | Example of how the neural network learns to predict the angle between two points created with |
| Half Beer | 7 | over 6 years ago | Beer glass classifier created with |
| NSFWJS | Indecent content checker with TensorFlow.js | ||
| Rock Paper Scissors | Rock Paper Scissors trained in the browser with TensorFlow.js | ||
| Heroes Wear Masks | A fun TensorFlow.js-based oracle that tells, whether one wears a face mask or not. It can even tell when one wears the mask incorrectly | ||
Awesome Machine Learning / Julia | |||
| MachineLearning | 116 | about 9 years ago | Julia Machine Learning library |
| MLBase | 186 | about 1 year ago | A set of functions to support the development of machine learning algorithms |
| PGM | 52 | over 4 years ago | A Julia framework for probabilistic graphical models |
| DA | 9 | over 3 years ago | Julia package for Regularized Discriminant Analysis |
| Regression | 62 | over 7 years ago | Algorithms for regression analysis (e.g. linear regression and logistic regression) |
| Local Regression | 103 | 25 days ago | Local regression, so smooooth! |
| Naive Bayes | 8 | over 11 years ago | Simple Naive Bayes implementation in Julia |
| Mixed Models | 403 | 11 days ago | A Julia package for fitting (statistical) mixed-effects models |
| Simple MCMC | 12 | over 11 years ago | basic MCMC sampler implemented in Julia |
| Distances | 427 | 9 months ago | Julia module for Distance evaluation |
| Decision Tree | 8 | over 2 years ago | Decision Tree Classifier and Regressor |
| Neural | 47 | over 7 years ago | A neural network in Julia |
| MCMC | 35 | over 11 years ago | MCMC tools for Julia |
| Mamba | 253 | over 2 years ago | Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia |
| GLM | 593 | 9 days ago | Generalized linear models in Julia |
| Gaussian Processes | 308 | over 1 year ago | Julia package for Gaussian processes |
| Online Learning | 14 | almost 10 years ago | |
| GLMNet | 95 | 25 days ago | Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet |
| Clustering | 354 | 5 months ago | Basic functions for clustering data: k-means, dp-means, etc |
| SVM | 40 | about 8 years ago | SVM for Julia |
| Kernel Density | 177 | 4 months ago | Kernel density estimators for Julia |
| MultivariateStats | 376 | 4 months ago | Methods for dimensionality reduction |
| NMF | 91 | about 1 month ago | A Julia package for non-negative matrix factorization |
| ANN | 55 | over 5 years ago | Julia artificial neural networks |
| Mocha | 1,288 | almost 6 years ago | Deep Learning framework for Julia inspired by Caffe |
| XGBoost | 289 | 11 months ago | eXtreme Gradient Boosting Package in Julia |
| ManifoldLearning | 91 | 7 months ago | A Julia package for manifold learning and nonlinear dimensionality reduction |
| MXNet | 20,772 | 12 months ago | Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more |
| Merlin | 144 | almost 5 years ago | Flexible Deep Learning Framework in Julia |
| ROCAnalysis | 30 | about 1 year ago | Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers |
| GaussianMixtures | 98 | 6 months ago | Large scale Gaussian Mixture Models |
| ScikitLearn | 546 | over 1 year ago | Julia implementation of the scikit-learn API |
| Knet | 1,427 | over 2 years ago | Koç University Deep Learning Framework |
| Flux | Relax! Flux is the ML library that doesn't make you tensor | ||
| MLJ | 1,782 | about 1 month ago | A Julia machine learning framework |
| Topic Models | 38 | over 4 years ago | TopicModels for Julia |
| Text Analysis | 373 | 12 days ago | Julia package for text analysis |
| Word Tokenizers | 97 | almost 3 years ago | Tokenizers for Natural Language Processing in Julia |
| Corpus Loaders | 32 | about 2 years ago | A Julia package providing a variety of loaders for various NLP corpora |
| Embeddings | 81 | 7 months ago | Functions and data dependencies for loading various word embeddings |
| Languages | 55 | 10 months ago | Julia package for working with various human languages |
| WordNet | 35 | over 1 year ago | A Julia package for Princeton's WordNet |
| Graph Layout | 45 | over 4 years ago | Graph layout algorithms in pure Julia |
| LightGraphs | 670 | almost 3 years ago | Graph modelling and analysis |
| Data Frames Meta | 480 | 18 days ago | Metaprogramming tools for DataFrames |
| Julia Data | 6 | about 11 years ago | library for working with tabular data in Julia |
| Data Read | 78 | 9 months ago | Read files from Stata, SAS, and SPSS |
| Hypothesis Tests | 296 | 23 days ago | Hypothesis tests for Julia |
| Gadfly | 1,900 | 7 months ago | Crafty statistical graphics for Julia |
| Stats | 139 | almost 2 years ago | Statistical tests for Julia |
| RDataSets | 160 | 6 months ago | Julia package for loading many of the data sets available in R |
| DataFrames | 1,724 | 12 days ago | library for working with tabular data in Julia |
| Distributions | 1,105 | 9 days ago | A Julia package for probability distributions and associated functions |
| Data Arrays | 53 | about 6 years ago | Data structures that allow missing values |
| Time Series | 353 | 3 months ago | Time series toolkit for Julia |
| Sampling | 1 | over 10 years ago | Basic sampling algorithms for Julia |
| DSP | 378 | 8 days ago | Digital Signal Processing (filtering, periodograms, spectrograms, window functions) |
| JuliaCon Presentations | 69 | over 8 years ago | Presentations for JuliaCon |
| SignalProcessing | 378 | 8 days ago | Signal Processing tools for Julia |
| Images | 533 | 6 months ago | An image library for Julia |
| DataDeps | 151 | 8 months ago | Reproducible data setup for reproducible science |
Awesome Machine Learning / Kotlin | |||
| KotlinDL | 1,455 | 4 months ago | Deep learning framework written in Kotlin |
Awesome Machine Learning / Lua | |||
| Torch7 | |||
Awesome Machine Learning / Lua / Torch7 | |||
| cephes | 47 | over 8 years ago | Cephes mathematical functions library, wrapped for Torch. Provides and wraps the 180+ special mathematical functions from the Cephes mathematical library, developed by Stephen L. Moshier. It is used, among many other places, at the heart of SciPy |
| autograd | 559 | almost 3 years ago | Autograd automatically differentiates native Torch code. Inspired by the original Python version |
| graph | 35 | almost 8 years ago | Graph package for Torch |
| randomkit | 34 | over 5 years ago | Numpy's randomkit, wrapped for Torch |
| signal | 48 | over 7 years ago | A signal processing toolbox for Torch-7. FFT, DCT, Hilbert, cepstrums, stft |
| nn | 1,339 | over 3 years ago | Neural Network package for Torch |
| torchnet | 996 | over 5 years ago | framework for torch which provides a set of abstractions aiming at encouraging code re-use as well as encouraging modular programming |
| nngraph | 300 | about 7 years ago | This package provides graphical computation for nn library in Torch7 |
| nnx | 97 | over 7 years ago | A completely unstable and experimental package that extends Torch's builtin nn library |
| rnn | 939 | almost 7 years ago | A Recurrent Neural Network library that extends Torch's nn. RNNs, LSTMs, GRUs, BRNNs, BLSTMs, etc |
| dpnn | 194 | over 7 years ago | Many useful features that aren't part of the main nn package |
| dp | 343 | about 8 years ago | A deep learning library designed for streamlining research and development using the Torch7 distribution. It emphasizes flexibility through the elegant use of object-oriented design patterns |
| optim | 197 | almost 7 years ago | An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more |
| unsup | 86 | over 7 years ago | A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA) |
| manifold | 141 | over 7 years ago | A package to manipulate manifolds |
| svm | 43 | over 8 years ago | Torch-SVM library |
| lbfgs | 2 | over 11 years ago | FFI Wrapper for liblbfgs |
| vowpalwabbit | 2 | over 12 years ago | An old vowpalwabbit interface to torch |
| OpenGM | 8 | over 12 years ago | OpenGM is a C++ library for graphical modelling, and inference. The Lua bindings provide a simple way of describing graphs, from Lua, and then optimizing them with OpenGM |
| spaghetti | 2 | about 11 years ago | Spaghetti (sparse linear) module for torch7 by @MichaelMathieu |
| LuaSHKit | 3 | over 10 years ago | A Lua wrapper around the Locality sensitive hashing library SHKit |
| kernel smoothing | 5 | almost 12 years ago | KNN, kernel-weighted average, local linear regression smoothers |
| cutorch | 337 | about 7 years ago | Torch CUDA Implementation |
| cunn | 215 | about 5 years ago | Torch CUDA Neural Network Implementation |
| imgraph | 22 | almost 7 years ago | An image/graph library for Torch. This package provides routines to construct graphs on images, segment them, build trees out of them, and convert them back to images |
| videograph | 9 | over 11 years ago | A video/graph library for Torch. This package provides routines to construct graphs on videos, segment them, build trees out of them, and convert them back to videos |
| saliency | 7 | almost 11 years ago | code and tools around integral images. A library for finding interest points based on fast integral histograms |
| stitch | 4 | over 12 years ago | allows us to use hugin to stitch images and apply same stitching to a video sequence |
| sfm | 3 | over 12 years ago | A bundle adjustment/structure from motion package |
| fex | 10 | over 10 years ago | A package for feature extraction in Torch. Provides SIFT and dSIFT modules |
| OverFeat | 597 | about 10 years ago | A state-of-the-art generic dense feature extractor |
| wav2letter | 6,370 | about 2 months ago | a simple and efficient end-to-end Automatic Speech Recognition (ASR) system from Facebook AI Research |
Awesome Machine Learning / Lua | |||
| Numeric Lua | |||
| Lunatic Python | |||
| SciLua | |||
| Lua - Numerical Algorithms | |||
| Lunum | 35 | over 12 years ago | |
| Keras GPT Copilot | 28 | about 1 year ago | A python package that integrates an LLM copilot inside the keras model development workflow |
| Core torch7 demos repository | 43 | over 7 years ago | |
| Training a Convnet for the Galaxy-Zoo Kaggle challenge(CUDA demo) | 35 | almost 10 years ago | |
| torch-datasets | 37 | over 10 years ago | Scripts to load several popular datasets including: |
| Atari2600 | 18 | over 10 years ago | Scripts to generate a dataset with static frames from the Arcade Learning Environment |
Awesome Machine Learning / Matlab | |||
| Contourlets | MATLAB source code that implements the contourlet transform and its utility functions | ||
| Shearlets | MATLAB code for shearlet transform | ||
| Curvelets | The Curvelet transform is a higher dimensional generalization of the Wavelet transform designed to represent images at different scales and different angles | ||
| Bandlets | MATLAB code for bandlet transform | ||
| mexopencv | Collection and a development kit of MATLAB mex functions for OpenCV library | ||
| NLP | A NLP library for Matlab | ||
| Training a deep autoencoder or a classifier on MNIST digits | Training a deep autoencoder or a classifier on MNIST digits[DEEP LEARNING] | ||
| Convolutional-Recursive Deep Learning for 3D Object Classification | Convolutional-Recursive Deep Learning for 3D Object Classification[DEEP LEARNING] | ||
| Spider | The spider is intended to be a complete object orientated environment for machine learning in Matlab | ||
| LibSVM | A Library for Support Vector Machines | ||
| ThunderSVM | 1,562 | 6 months ago | An Open-Source SVM Library on GPUs and CPUs |
| LibLinear | A Library for Large Linear Classification | ||
| Machine Learning Module | 465 | over 13 years ago | Class on machine w/ PDF, lectures, code |
| Caffe | 34,057 | 2 months ago | A deep learning framework developed with cleanliness, readability, and speed in mind |
| Pattern Recognition Toolbox | 144 | about 5 years ago | A complete object-oriented environment for machine learning in Matlab |
| Pattern Recognition and Machine Learning | 6,005 | over 4 years ago | This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop |
| Optunity | A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate drop-in replacement of grid search. Optunity is written in Python but interfaces seamlessly with MATLAB | ||
| MXNet | 20,772 | 12 months ago | Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more |
| Machine Learning in MatLab/Octave | 844 | about 4 years ago | Examples of popular machine learning algorithms (neural networks, linear/logistic regressions, K-Means, etc.) with code examples and mathematics behind them being explained |
| ParaMonte | 258 | 12 days ago | A general-purpose MATLAB library for Bayesian data analysis and visualization via serial/parallel Monte Carlo and MCMC simulations. Documentation can be found |
| matlab_bgl | MatlabBGL is a Matlab package for working with graphs | ||
| gaimc | Efficient pure-Matlab implementations of graph algorithms to complement MatlabBGL's mex functions | ||
Awesome Machine Learning / .NET | |||
| OpenCVDotNet | A wrapper for the OpenCV project to be used with .NET applications | ||
| Emgu CV | Cross platform wrapper of OpenCV which can be compiled in Mono to be run on Windows, Linus, Mac OS X, iOS, and Android | ||
| AForge.NET | Open source C# framework for developers and researchers in the fields of Computer Vision and Artificial Intelligence. Development has now shifted to GitHub | ||
| Accord.NET | Together with AForge.NET, this library can provide image processing and computer vision algorithms to Windows, Windows RT and Windows Phone. Some components are also available for Java and Android | ||
| Stanford.NLP for .NET | 597 | 7 months ago | A full port of Stanford NLP packages to .NET and also available precompiled as a NuGet package |
| Accord-Framework | -The Accord.NET Framework is a complete framework for building machine learning, computer vision, computer audition, signal processing and statistical applications | ||
| Accord.MachineLearning | Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework | ||
| DiffSharp | An automatic differentiation (AD) library providing exact and efficient derivatives (gradients, Hessians, Jacobians, directional derivatives, and matrix-free Hessian- and Jacobian-vector products) for machine learning and optimization applications. Operations can be nested to any level, meaning that you can compute exact higher-order derivatives and differentiate functions that are internally making use of differentiation, for applications such as hyperparameter optimization | ||
| Encog | An advanced neural network and machine learning framework. Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trains using multithreaded resilient propagation. Encog can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train neural networks | ||
| GeneticSharp | 1,270 | 5 months ago | Multi-platform genetic algorithm library for .NET Core and .NET Framework. The library has several implementations of GA operators, like: selection, crossover, mutation, reinsertion and termination |
| Infer.NET | Infer.NET is a framework for running Bayesian inference in graphical models. One can use Infer.NET to solve many different kinds of machine learning problems, from standard problems like classification, recommendation or clustering through customized solutions to domain-specific problems. Infer.NET has been used in a wide variety of domains including information retrieval, bioinformatics, epidemiology, vision, and many others | ||
| ML.NET | 9,015 | 4 days ago | ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers. ML.NET was originally developed in Microsoft Research and evolved into a significant framework over the last decade and is used across many product groups in Microsoft like Windows, Bing, PowerPoint, Excel and more |
| Neural Network Designer | DBMS management system and designer for neural networks. The designer application is developed using WPF, and is a user interface which allows you to design your neural network, query the network, create and configure chat bots that are capable of asking questions and learning from your feedback. The chat bots can even scrape the internet for information to return in their output as well as to use for learning | ||
| Synapses | 70 | about 3 years ago | Neural network library in F# |
| Vulpes | 116 | about 7 years ago | Deep belief and deep learning implementation written in F# and leverages CUDA GPU execution with Alea.cuBase |
| MxNet.Sharp | 148 | over 1 year ago | .NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C# |
| numl | numl is a machine learning library intended to ease the use of using standard modelling techniques for both prediction and clustering | ||
| Math.NET Numerics | Numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and everyday use. Supports .Net 4.0, .Net 3.5 and Mono on Windows, Linux and Mac; Silverlight 5, WindowsPhone/SL 8, WindowsPhone 8.1 and Windows 8 with PCL Portable Profiles 47 and 344; Android/iOS with Xamarin | ||
| Sho | Sho is an interactive environment for data analysis and scientific computing that lets you seamlessly connect scripts (in IronPython) with compiled code (in .NET) to enable fast and flexible prototyping. The environment includes powerful and efficient libraries for linear algebra as well as data visualization that can be used from any .NET language, as well as a feature-rich interactive shell for rapid development | ||
Awesome Machine Learning / Objective C / General-Purpose Machine Learning | |||
| YCML | 116 | over 7 years ago | A Machine Learning framework for Objective-C and Swift (OS X / iOS) |
| MLPNeuralNet | 900 | about 8 years ago | Fast multilayer perceptron neural network library for iOS and Mac OS X. MLPNeuralNet predicts new examples by trained neural networks. It is built on top of the Apple's Accelerate Framework, using vectorized operations and hardware acceleration if available |
| MAChineLearning | 37 | about 5 years ago | An Objective-C multilayer perceptron library, with full support for training through backpropagation. Implemented using vDSP and vecLib, it's 20 times faster than its Java equivalent. Includes sample code for use from Swift |
| BPN-NeuralNetwork | 32 | almost 9 years ago | It implemented 3 layers of neural networks ( Input Layer, Hidden Layer and Output Layer ) and it was named Back Propagation Neural Networks (BPN). This network can be used in products recommendation, user behavior analysis, data mining and data analysis |
| Multi-Perceptron-NeuralNetwork | 24 | over 7 years ago | It implemented multi-perceptrons neural network (ニューラルネットワーク) based on Back Propagation Neural Networks (BPN) and designed unlimited-hidden-layers |
| KRHebbian-Algorithm | 13 | almost 9 years ago | It is a non-supervisory and self-learning algorithm (adjust the weights) in the neural network of Machine Learning |
| KRKmeans-Algorithm | 23 | over 8 years ago | It implemented K-Means clustering and classification algorithm. It could be used in data mining and image compression |
| KRFuzzyCMeans-Algorithm | 12 | over 8 years ago | It implemented Fuzzy C-Means (FCM) the fuzzy clustering / classification algorithm on Machine Learning. It could be used in data mining and image compression |
Awesome Machine Learning / OCaml / General-Purpose Machine Learning | |||
| Oml | 119 | over 6 years ago | A general statistics and machine learning library |
| GPR | Efficient Gaussian Process Regression in OCaml | ||
| Libra-Tk | Algorithms for learning and inference with discrete probabilistic models | ||
| TensorFlow | 283 | about 5 years ago | OCaml bindings for TensorFlow |
Awesome Machine Learning / OpenCV / OpenSource-Computer-Vision | |||
| OpenCV | 78,215 | 10 days ago | A OpenSource Computer Vision Library |
Awesome Machine Learning / Perl / Data Analysis / Data Visualization | |||
| Perl Data Language | , a pluggable architecture for data and image processing, which can be | ||
Awesome Machine Learning / Perl / General-Purpose Machine Learning | |||
| MXnet for Deep Learning, in Perl | 20,772 | 12 months ago | , also |
| Perl Data Language | , using AWS machine learning platform from Perl | ||
| Algorithm::SVMLight | , implementation of Support Vector Machines with SVMLight under it | ||
| AI | Several machine learning and artificial intelligence models are included in the namespace. For instance, you can find | ||
Awesome Machine Learning / Perl 6 | |||
| Support Vector Machines | 8 | about 1 year ago | |
| Naïve Bayes | 3 | over 2 years ago | |
Awesome Machine Learning / Perl 6 / Data Analysis / Data Visualization | |||
| Perl Data Language | , a pluggable architecture for data and image processing, which can be | ||
Awesome Machine Learning / PHP / Natural Language Processing | |||
| jieba-php | 1,322 | about 2 years ago | Chinese Words Segmentation Utilities |
Awesome Machine Learning / PHP / General-Purpose Machine Learning | |||
| PHP-ML | Machine Learning library for PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library | ||
| PredictionBuilder | 111 | over 4 years ago | A library for machine learning that builds predictions using a linear regression |
| Rubix ML | A high-level machine learning (ML) library that lets you build programs that learn from data using the PHP language | ||
| 19 Questions | 17 | about 2 years ago | A machine learning / bayesian inference assigning attributes to objects |
Awesome Machine Learning / Python | |||
| Scikit-Image | 6,056 | 4 days ago | A collection of algorithms for image processing in Python |
| Scikit-Opt | 5,211 | 3 months ago | Swarm Intelligence in Python (Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Algorithm, Immune Algorithm, Artificial Fish Swarm Algorithm in Python) |
| SimpleCV | An open source computer vision framework that gives access to several high-powered computer vision libraries, such as OpenCV. Written on Python and runs on Mac, Windows, and Ubuntu Linux | ||
| Vigranumpy | 410 | 15 days ago | Python bindings for the VIGRA C++ computer vision library |
| OpenFace | Free and open source face recognition with deep neural networks | ||
| PCV | 1,919 | almost 4 years ago | Open source Python module for computer vision |
| face_recognition | 53,003 | about 2 months ago | Face recognition library that recognizes and manipulates faces from Python or from the command line |
| deepface | 11,918 | 29 days ago | A lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for Python covering cutting-edge models such as VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, Dlib and ArcFace |
| retinaface | 1,154 | about 2 months ago | deep learning based cutting-edge facial detector for Python coming with facial landmarks |
| dockerface | 189 | over 4 years ago | Easy to install and use deep learning Faster R-CNN face detection for images and video in a docker container |
| Detectron | 26,233 | 11 months ago | FAIR's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework |
| detectron2 | 30,140 | 26 days ago | FAIR's next-generation research platform for object detection and segmentation. It is a ground-up rewrite of the previous version, Detectron, and is powered by the PyTorch deep learning framework |
| albumentations | 14,091 | 4 days ago | А fast and framework agnostic image augmentation library that implements a diverse set of augmentation techniques. Supports classification, segmentation, detection out of the box. Was used to win a number of Deep Learning competitions at Kaggle, Topcoder and those that were a part of the CVPR workshops |
| pytessarct | 5,783 | 13 days ago | Python-tesseract is an optical character recognition (OCR) tool for python. That is, it will recognize and "read" the text embedded in images. Python-tesseract is a wrapper for |
| imutils | 4,529 | 3 months ago | A library containing Convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python |
| PyTorchCV | 46 | over 5 years ago | A PyTorch-Based Framework for Deep Learning in Computer Vision |
| joliGEN | 240 | 12 days ago | Generative AI Image Toolset with GANs and Diffusion for Real-World Applications |
| Self-supervised learning | |||
| neural-style-pt | 837 | almost 2 years ago | A PyTorch implementation of Justin Johnson's neural-style (neural style transfer) |
| Detecto | 612 | 2 months ago | Train and run a computer vision model with 5-10 lines of code |
| neural-dream | 132 | about 3 years ago | A PyTorch implementation of DeepDream |
| Openpose | 30,875 | 2 months ago | A real-time multi-person keypoint detection library for body, face, hands, and foot estimation |
| Deep High-Resolution-Net | 4,311 | about 1 month ago | A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation" |
| TF-GAN | 928 | about 2 months ago | TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs) |
| dream-creator | 63 | about 2 years ago | A PyTorch implementation of DeepDream. Allows individuals to quickly and easily train their own custom GoogleNet models with custom datasets for DeepDream |
| Lucent | 603 | 4 months ago | Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch |
| lightly | 2,933 | 10 days ago | Lightly is a computer vision framework for self-supervised learning |
| Learnergy | 65 | 2 months ago | Energy-based machine learning models built upon PyTorch |
| OpenVisionAPI | Open source computer vision API based on open source models | ||
| IoT Owl | 7 | about 3 years ago | Light face detection and recognition system with huge possibilities, based on Microsoft Face API and TensorFlow made for small IoT devices like raspberry pi |
| Exadel CompreFace | 5,281 | 3 months ago | face recognition system that can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for face recognition, face verification, face detection, face mask detection, landmark detection, age, and gender recognition and is easily deployed with docker |
| computer-vision-in-action | 2,526 | 4 months ago | as known as , is a new generation of computer vision open source online learning media, a cross-platform interactive learning framework integrating graphics, source code and HTML. the L0CV ecosystem — Notebook, Datasets, Source Code, and from Diving-in to Advanced — as well as the L0CV Hub |
| timm | 31,573 | 13 days ago | PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more |
| segmentation_models.pytorch | 9,454 | 8 days ago | A PyTorch-based toolkit that offers pre-trained segmentation models for computer vision tasks. It simplifies the development of image segmentation applications by providing a collection of popular architecture implementations, such as UNet and PSPNet, along with pre-trained weights, making it easier for researchers and developers to achieve high-quality pixel-level object segmentation in images |
| segmentation_models | 4,726 | about 2 months ago | A TensorFlow Keras-based toolkit that offers pre-trained segmentation models for computer vision tasks. It simplifies the development of image segmentation applications by providing a collection of popular architecture implementations, such as UNet and PSPNet, along with pre-trained weights, making it easier for researchers and developers to achieve high-quality pixel-level object segmentation in images |
| MLX | 16,524 | 10 days ago | MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research |
| pkuseg-python | 6,518 | almost 2 years ago | A better version of Jieba, developed by Peking University |
| NLTK | A leading platform for building Python programs to work with human language data | ||
| Pattern | 8,728 | 4 months ago | A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others |
| Quepy | 1,255 | almost 4 years ago | A python framework to transform natural language questions to queries in a database query language |
| TextBlob | Providing a consistent API for diving into common natural language processing (NLP) tasks. Stands on the giant shoulders of NLTK and Pattern, and plays nicely with both | ||
| YAlign | 127 | over 8 years ago | A sentence aligner, a friendly tool for extracting parallel sentences from comparable corpora |
| jieba | 33,156 | about 2 months ago | Chinese Words Segmentation Utilities |
| SnowNLP | 6,403 | over 4 years ago | A library for processing Chinese text |
| spammy | 141 | about 5 years ago | A library for email Spam filtering built on top of NLTK |
| loso | 83 | over 13 years ago | Another Chinese segmentation library |
| genius | 233 | almost 6 years ago | A Chinese segment based on Conditional Random Field |
| KoNLPy | A Python package for Korean natural language processing | ||
| nut | 118 | over 10 years ago | Natural language Understanding Toolkit |
| Rosetta | 206 | almost 2 years ago | Text processing tools and wrappers (e.g. Vowpal Wabbit) |
| BLLIP Parser | Python bindings for the BLLIP Natural Language Parser (also known as the Charniak-Johnson parser) | ||
| PyNLPl | 479 | about 1 year ago | Python Natural Language Processing Library. General purpose NLP library for Python. Also contains some specific modules for parsing common NLP formats, most notably for , but also ARPA language models, Moses phrasetables, GIZA++ alignments |
| PySS3 | 333 | about 1 year ago | Python package that implements a novel white-box machine learning model for text classification, called SS3. Since SS3 has the ability to visually explain its rationale, this package also comes with easy-to-use interactive visualizations tools ( ) |
| python-ucto | 29 | 23 days ago | Python binding to ucto (a unicode-aware rule-based tokenizer for various languages) |
| python-frog | 47 | 23 days ago | Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER) |
| python-zpar | 48 | over 3 years ago | Python bindings for , a statistical part-of-speech-tagger, constituency parser, and dependency parser for English |
| colibri-core | 123 | 11 months ago | Python binding to C++ library for extracting and working with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way |
| spaCy | 29,727 | 21 days ago | Industrial strength NLP with Python and Cython |
| PyStanfordDependencies | 68 | over 5 years ago | Python interface for converting Penn Treebank trees to Stanford Dependencies |
| Distance | 117 | almost 5 years ago | Levenshtein and Hamming distance computation |
| Fuzzy Wuzzy | 9,220 | over 1 year ago | Fuzzy String Matching in Python |
| Neofuzz | 32 | 29 days ago | Blazing fast, lightweight and customizable fuzzy and semantic text search in Python with fuzzywuzzy/thefuzz compatible API |
| jellyfish | 2,043 | 28 days ago | a python library for doing approximate and phonetic matching of strings |
| editdistance | fast implementation of edit distance | ||
| textacy | 2,207 | about 1 year ago | higher-level NLP built on Spacy |
| stanford-corenlp-python | 611 | over 6 years ago | Python wrapper for |
| CLTK | 834 | about 2 months ago | The Classical Language Toolkit |
| Rasa | 18,683 | 19 days ago | A "machine learning framework to automate text-and voice-based conversations." |
| yase | 13 | over 7 years ago | Transcode sentence (or other sequence) to list of word vector |
| Polyglot | 2,309 | 11 months ago | Multilingual text (NLP) processing toolkit |
| DrQA | 4,473 | about 1 year ago | Reading Wikipedia to answer open-domain questions |
| Dedupe | 4,103 | 12 days ago | A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution |
| Snips NLU | 3,888 | over 1 year ago | Natural Language Understanding library for intent classification and entity extraction |
| NeuroNER | 1,691 | over 1 year ago | Named-entity recognition using neural networks providing state-of-the-art-results |
| DeepPavlov | 6,668 | about 2 months ago | conversational AI library with many pre-trained Russian NLP models |
| BigARTM | 661 | about 1 year ago | topic modelling platform |
| NALP | 23 | 2 months ago | A Natural Adversarial Language Processing framework built over Tensorflow |
| DL Translate | 438 | about 1 month ago | A deep learning-based translation library between 50 languages, built with |
| Haystack | 16,869 | 11 days ago | A framework for building industrial-strength applications with Transformer models and LLMs |
| CometLLM | 1,480 | 4 days ago | Track, log, visualize and evaluate your LLM prompts and prompt chains |
| Transformers | 132,640 | 8 days ago | A deep learning library containing thousands of pre-trained models on different tasks. The goto place for anything related to Large Language Models |
| XAD | -> Fast and easy-to-use backpropagation tool | ||
| Aim | 5,163 | 4 days ago | -> An easy-to-use & supercharged open-source AI metadata tracker |
| RexMex | 275 | about 1 year ago | -> A general purpose recommender metrics library for fair evaluation |
| ChemicalX | 708 | about 1 year ago | -> A PyTorch based deep learning library for drug pair scoring |
| Microsoft ML for Apache Spark | 5,054 | 4 days ago | -> A distributed machine learning framework Apache Spark |
| Shapley | 218 | over 1 year ago | -> A data-driven framework to quantify the value of classifiers in a machine learning ensemble |
| igel | 3,082 | over 1 year ago | -> A delightful machine learning tool that allows you to train/fit, test and use models |
| ML Model building | 29 | over 3 years ago | -> A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them |
| ML/DL project template | 1,231 | about 1 year ago | |
| PyTorch Frame | 501 | 9 days ago | -> A Modular Framework for Multi-Modal Tabular Learning |
| PyTorch Geometric | 21,076 | 3 days ago | -> Graph Neural Network Library for PyTorch |
| PyTorch Geometric Temporal | 2,628 | 4 months ago | -> A temporal extension of PyTorch Geometric for dynamic graph representation learning |
| Little Ball of Fur | 701 | 8 months ago | -> A graph sampling extension library for NetworkX with a Scikit-Learn like API |
| Karate Club | 2,142 | 3 months ago | -> An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API |
| Auto_ViML | 519 | 3 months ago | -> Automatically Build Variant Interpretable ML models fast! Auto_ViML is pronounced "auto vimal", is a comprehensive and scalable Python AutoML toolkit with imbalanced handling, ensembling, stacking and built-in feature selection. Featured in |
| PyOD | 8,464 | 29 days ago | -> Python Outlier Detection, comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. Featured for Advanced models, including Neural Networks/Deep Learning and Outlier Ensembles |
| steppy | 134 | almost 6 years ago | -> Lightweight, Python library for fast and reproducible machine learning experimentation. Introduces a very simple interface that enables clean machine learning pipeline design |
| steppy-toolkit | 22 | almost 6 years ago | -> Curated collection of the neural networks, transformers and models that make your machine learning work faster and more effective |
| CNTK | 17,506 | over 1 year ago | Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. Documentation can be found |
| Couler | 908 | 4 months ago | Unified interface for constructing and managing machine learning workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow |
| auto_ml | 1,642 | over 3 years ago | Automated machine learning for production and analytics. Lets you focus on the fun parts of ML, while outputting production-ready code, and detailed analytics of your dataset and results. Includes support for NLP, XGBoost, CatBoost, LightGBM, and soon, deep learning |
| dtaidistance | 1,079 | about 1 month ago | High performance library for time series distances (DTW) and time series clustering |
| einops | 8,404 | 14 days ago | Deep learning operations reinvented (for pytorch, tensorflow, jax and others) |
| machine learning | 256 | over 3 years ago | automated build consisting of a , and set of API, for support vector machines. Corresponding dataset(s) are stored into a SQL database, then generated model(s) used for prediction(s), are stored into a NoSQL datastore |
| XGBoost | 26,140 | 4 days ago | Python bindings for eXtreme Gradient Boosting (Tree) Library |
| ChefBoost | 453 | about 2 months ago | a lightweight decision tree framework for Python with categorical feature support covering regular decision tree algorithms such as ID3, C4.5, CART, CHAID and regression tree; also some advanved bagging and boosting techniques such as gradient boosting, random forest and adaboost |
| Apache SINGA | An Apache Incubating project for developing an open source machine learning library | ||
| Bayesian Methods for Hackers | 26,703 | 3 months ago | Book/iPython notebooks on Probabilistic Programming in Python |
| Featureforge | 382 | almost 7 years ago | A set of tools for creating and testing machine learning features, with a scikit-learn compatible API |
| MLlib in Apache Spark | Distributed machine learning library in Spark | ||
| Hydrosphere Mist | 326 | almost 4 years ago | A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services |
| Towhee | A Python module that encode unstructured data into embeddings | ||
| scikit-learn | A Python module for machine learning built on top of SciPy | ||
| metric-learn | 1,396 | 2 months ago | A Python module for metric learning |
| OpenMetricLearning | 864 | about 2 months ago | A PyTorch-based framework to train and validate the models producing high-quality embeddings |
| Intel(R) Extension for Scikit-learn | 1,209 | 8 days ago | A seamless way to speed up your Scikit-learn applications with no accuracy loss and code changes |
| SimpleAI | 964 | 11 months ago | Python implementation of many of the artificial intelligence algorithms described in the book "Artificial Intelligence, a Modern Approach". It focuses on providing an easy to use, well documented and tested library |
| astroML | Machine Learning and Data Mining for Astronomy | ||
| graphlab-create | A library with various machine learning models (regression, clustering, recommender systems, graph analytics, etc.) implemented on top of a disk-backed DataFrame | ||
| BigML | A library that contacts external servers | ||
| pattern | 8,728 | 4 months ago | Web mining module for Python |
| NuPIC | 6,335 | about 1 year ago | Numenta Platform for Intelligent Computing |
| Pylearn2 | 2,753 | about 3 years ago | A Machine Learning library based on |
| keras | 61,683 | 5 days ago | High-level neural networks frontend for , and |
| Lasagne | 3,845 | over 2 years ago | Lightweight library to build and train neural networks in Theano |
| hebel | 1,169 | almost 4 years ago | GPU-Accelerated Deep Learning Library in Python |
| Chainer | 5,885 | about 1 year ago | Flexible neural network framework |
| prophet | Fast and automated time series forecasting framework by Facebook | ||
| gensim | 15,591 | about 1 month ago | Topic Modelling for Humans |
| tweetopic | Blazing fast short-text-topic-modelling for Python | ||
| topicwizard | 98 | about 1 month ago | Interactive topic model visualization/interpretation framework |
| topik | 93 | over 8 years ago | Topic modelling toolkit |
| PyBrain | 2,855 | 3 months ago | Another Python Machine Learning Library |
| Brainstorm | 1,304 | about 2 years ago | Fast, flexible and fun neural networks. This is the successor of PyBrain |
| Surprise | A scikit for building and analyzing recommender systems | ||
| implicit | Fast Python Collaborative Filtering for Implicit Datasets | ||
| LightFM | A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback | ||
| Crab | 1,177 | almost 4 years ago | A flexible, fast recommender engine |
| python-recsys | 1,476 | almost 4 years ago | A Python library for implementing a Recommender System |
| thinking bayes | 1,644 | over 3 years ago | Book on Bayesian Analysis |
| Image-to-Image Translation with Conditional Adversarial Networks | 140 | over 7 years ago | Implementation of image to image (pix2pix) translation from the paper by .[DEEP LEARNING] |
| Restricted Boltzmann Machines | 946 | over 4 years ago | -Restricted Boltzmann Machines in Python. [DEEP LEARNING] |
| Bolt | 87 | almost 13 years ago | Bolt Online Learning Toolbox |
| CoverTree | 31 | over 12 years ago | Python implementation of cover trees, near-drop-in replacement for scipy.spatial.kdtree |
| nilearn | 1,170 | 1 day ago | Machine learning for NeuroImaging in Python |
| neuropredict | 99 | 7 months ago | Aimed at novice machine learners and non-expert programmers, this package offers easy (no coding needed) and comprehensive machine learning (evaluation and full report of predictive performance WITHOUT requiring you to code) in Python for NeuroImaging and any other type of features. This is aimed at absorbing much of the ML workflow, unlike other packages like nilearn and pymvpa, which require you to learn their API and code to produce anything useful |
| imbalanced-learn | Python module to perform under sampling and oversampling with various techniques | ||
| imbalanced-ensemble | 321 | 4 months ago | Python toolbox for quick implementation, modification, evaluation, and visualization of ensemble learning algorithms for class-imbalanced data. Supports out-of-the-box multi-class imbalanced (long-tailed) classification |
| Shogun | 3,028 | 10 months ago | The Shogun Machine Learning Toolbox |
| Pyevolve | 313 | about 3 years ago | Genetic algorithm framework |
| Caffe | 34,057 | 2 months ago | A deep learning framework developed with cleanliness, readability, and speed in mind |
| breze | 96 | about 8 years ago | Theano based library for deep and recurrent neural networks |
| Cortex | 8,017 | 4 months ago | Open source platform for deploying machine learning models in production |
| pyhsmm | 548 | almost 2 years ago | library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions, the HDP-HMM and HDP-HSMM, mostly with weak-limit approximations |
| SKLL | 550 | 24 days ago | A wrapper around scikit-learn that makes it simpler to conduct experiments |
| neurolab | 162 | over 4 years ago | |
| Spearmint | 1,545 | almost 5 years ago | Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012 |
| Pebl | 104 | almost 13 years ago | Python Environment for Bayesian Learning |
| Theano | 9,894 | 9 months ago | Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python |
| TensorFlow | 185,782 | 5 days ago | Open source software library for numerical computation using data flow graphs |
| pomegranate | 3,352 | 3 months ago | Hidden Markov Models for Python, implemented in Cython for speed and efficiency |
| python-timbl | 18 | over 4 years ago | A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit |
| deap | 5,790 | about 2 months ago | Evolutionary algorithm framework |
| pydeep | 1,380 | almost 4 years ago | Deep Learning In Python |
| mlxtend | 4,868 | 3 months ago | A library consisting of useful tools for data science and machine learning tasks |
| neon | 3,871 | almost 4 years ago | Nervana's Python-based Deep Learning framework [DEEP LEARNING] |
| Optunity | A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate drop-in replacement of grid search | ||
| Neural Networks and Deep Learning | 15,921 | 4 months ago | Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING] |
| Annoy | 13,140 | 2 months ago | Approximate nearest neighbours implementation |
| TPOT | 9,685 | 2 months ago | Tool that automatically creates and optimizes machine learning pipelines using genetic programming. Consider it your personal data science assistant, automating a tedious part of machine learning |
| pgmpy | 2,707 | 3 days ago | A python library for working with Probabilistic Graphical Models |
| DIGITS | 4,119 | over 1 year ago | The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models |
| Orange | Open source data visualization and data analysis for novices and experts | ||
| MXNet | 20,772 | 12 months ago | Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more |
| milk | 605 | over 9 years ago | Machine learning toolkit focused on supervised classification |
| TFLearn | 9,618 | 5 months ago | Deep learning library featuring a higher-level API for TensorFlow |
| REP | 687 | 2 months ago | an IPython-based environment for conducting data-driven research in a consistent and reproducible way. REP is not trying to substitute scikit-learn, but extends it and provides better user experience |
| rgf_python | 373 | over 2 years ago | Python bindings for Regularized Greedy Forest (Tree) Library |
| skbayes | 513 | about 3 years ago | Python package for Bayesian Machine Learning with scikit-learn API |
| fuku-ml | 280 | over 2 years ago | Simple machine learning library, including Perceptron, Regression, Support Vector Machine, Decision Tree and more, it's easy to use and easy to learn for beginners |
| Xcessiv | 1,266 | over 6 years ago | A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling |
| PyTorch | 82,603 | 4 days ago | Tensors and Dynamic neural networks in Python with strong GPU acceleration |
| PyTorch Lightning | 28,056 | 8 days ago | The lightweight PyTorch wrapper for high-performance AI research |
| PyTorch Lightning Bolts | 1,679 | 19 days ago | Toolbox of models, callbacks, and datasets for AI/ML researchers |
| skorch | 5,830 | 15 days ago | A scikit-learn compatible neural network library that wraps PyTorch |
| ML-From-Scratch | 23,854 | 12 months ago | Implementations of Machine Learning models from scratch in Python with a focus on transparency. Aims to showcase the nuts and bolts of ML in an accessible way |
| Edward | A library for probabilistic modelling, inference, and criticism. Built on top of TensorFlow | ||
| xRBM | 55 | almost 7 years ago | A library for Restricted Boltzmann Machine (RBM) and its conditional variants in Tensorflow |
| CatBoost | 8,025 | 3 days ago | General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, well documented and supports CPU and GPU (even multi-GPU) computation |
| stacked_generalization | 117 | over 5 years ago | Implementation of machine learning stacking technique as a handy library in Python |
| modAL | 2,198 | 7 months ago | A modular active learning framework for Python, built on top of scikit-learn |
| Cogitare | 76 | 5 months ago | : A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python |
| Parris | 316 | over 6 years ago | Parris, the automated infrastructure setup tool for machine learning algorithms |
| neonrvm | 39 | about 4 years ago | neonrvm is an open source machine learning library based on RVM technique. It's written in C programming language and comes with Python programming language bindings |
| Turi Create | 11,189 | 11 months ago | Machine learning from Apple. Turi Create simplifies the development of custom machine learning models. You don't have to be a machine learning expert to add recommendations, object detection, image classification, image similarity or activity classification to your app |
| xLearn | 3,085 | about 1 year ago | A high performance, easy-to-use, and scalable machine learning package, which can be used to solve large-scale machine learning problems. xLearn is especially useful for solving machine learning problems on large-scale sparse data, which is very common in Internet services such as online advertisement and recommender systems |
| mlens | 844 | 11 months ago | A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn |
| Thampi | 9 | almost 6 years ago | Machine Learning Prediction System on AWS Lambda |
| MindsDB | 26,362 | 3 days ago | Open Source framework to streamline use of neural networks |
| Microsoft Recommenders | 18,851 | 15 days ago | : Examples and best practices for building recommendation systems, provided as Jupyter notebooks. The repo contains some of the latest state of the art algorithms from Microsoft Research as well as from other companies and institutions |
| StellarGraph | 2,936 | 6 months ago | : Machine Learning on Graphs, a Python library for machine learning on graph-structured (network-structured) data |
| BentoML | 6,995 | 12 days ago | : Toolkit for package and deploy machine learning models for serving in production |
| MiraiML | 27 | almost 5 years ago | : An asynchronous engine for continuous & autonomous machine learning, built for real-time usage |
| numpy-ML | 15,286 | 11 months ago | : Reference implementations of ML models written in numpy |
| Neuraxle | 606 | over 1 year ago | : A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines |
| Cornac | 867 | 21 days ago | A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data |
| JAX | 30,101 | 1 day ago | JAX is Autograd and XLA, brought together for high-performance machine learning research |
| Catalyst | 3,279 | 7 months ago | High-level utils for PyTorch DL & RL research. It was developed with a focus on reproducibility, fast experimentation and code/ideas reusing. Being able to research/develop something new, rather than write another regular train loop |
| Fastai | 26,138 | 16 days ago | High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering |
| scikit-multiflow | 758 | 11 months ago | A machine learning framework for multi-output/multi-label and stream data |
| Lightwood | 441 | about 1 month ago | A Pytorch based framework that breaks down machine learning problems into smaller blocks that can be glued together seamlessly with objective to build predictive models with one line of code |
| bayeso | 92 | 3 months ago | A simple, but essential Bayesian optimization package, written in Python |
| mljar-supervised | 3,008 | 10 days ago | An Automated Machine Learning (AutoML) python package for tabular data. It can handle: Binary Classification, MultiClass Classification and Regression. It provides explanations and markdown reports |
| evostra | 268 | over 4 years ago | A fast Evolution Strategy implementation in Python |
| Determined | 2,994 | 11 days ago | Scalable deep learning training platform, including integrated support for distributed training, hyperparameter tuning, experiment tracking, and model management |
| PySyft | 9,443 | 10 days ago | A Python library for secure and private Deep Learning built on PyTorch and TensorFlow |
| PyGrid | 617 | over 1 year ago | Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft |
| sktime | 7,782 | 4 days ago | A unified framework for machine learning with time series |
| OPFython | 34 | 2 months ago | A Python-inspired implementation of the Optimum-Path Forest classifier |
| Opytimizer | 599 | about 2 months ago | Python-based meta-heuristic optimization techniques |
| Gradio | 32,355 | 10 days ago | A Python library for quickly creating and sharing demos of models. Debug models interactively in your browser, get feedback from collaborators, and generate public links without deploying anything |
| Hub | 8,072 | 8 days ago | Fastest unstructured dataset management for TensorFlow/PyTorch. Stream & version-control data. Store even petabyte-scale data in a single numpy-like array on the cloud accessible on any machine. Visit for more info |
| Synthia | 53 | about 1 year ago | Multidimensional synthetic data generation in Python |
| ByteHub | 58 | over 3 years ago | An easy-to-use, Python-based feature store. Optimized for time-series data |
| Backprop | 242 | over 3 years ago | Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models |
| River | 5,009 | 24 days ago | : A framework for general purpose online machine learning |
| FEDOT | 638 | 8 days ago | : An AutoML framework for the automated design of composite modelling pipelines. It can handle classification, regression, and time series forecasting tasks on different types of data (including multi-modal datasets) |
| Sklearn-genetic-opt | 307 | 18 days ago | : An AutoML package for hyperparameters tuning using evolutionary algorithms, with built-in callbacks, plotting, remote logging and more |
| Evidently | 5,193 | 4 days ago | : Interactive reports to analyze machine learning models during validation or production monitoring |
| Streamlit | 34,890 | 3 days ago | : Streamlit is an framework to create beautiful data apps in hours, not weeks |
| Optuna | 10,587 | 11 days ago | : Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning |
| Deepchecks | 3,578 | 10 days ago | : Validation & testing of machine learning models and data during model development, deployment, and production. This includes checks and suites related to various types of issues, such as model performance, data integrity, distribution mismatches, and more |
| Shapash | 2,715 | 18 days ago | : Shapash is a Python library that provides several types of visualization that display explicit labels that everyone can understand |
| Eurybia | 203 | 15 days ago | : Eurybia monitors data and model drift over time and securizes model deployment with data validation |
| Colossal-AI | 38,645 | 10 days ago | : An open-source deep learning system for large-scale model training and inference with high efficiency and low cost |
| dirty_cat | 15 | over 1 year ago | facilitates machine-learning on dirty, non-curated categories. It provides transformers and encoders robust to morphological variants, such as typos |
| Upgini | 311 | 12 days ago | : Free automated data & feature enrichment library for machine learning - automatically searches through thousands of ready-to-use features from public and community shared data sources and enriches your training dataset with only the accuracy improving features |
| AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics | 619 | 5 months ago | : A tutorial to help machine learning researchers to automatically obtain optimized machine learning models with the optimal learning performance on any specific task |
| SKBEL | 21 | 3 months ago | : A Python library for Bayesian Evidential Learning (BEL) in order to estimate the uncertainty of a prediction |
| NannyML | : Python library capable of fully capturing the impact of data drift on performance. Allows estimation of post-deployment model performance without access to targets | ||
| cleanlab | 9,428 | 29 days ago | : The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels |
| AutoGluon | 7,768 | 1 day ago | : AutoML for Image, Text, Tabular, Time-Series, and MultiModal Data |
| PyBroker | 1,936 | 13 days ago | Algorithmic Trading with Machine Learning |
| Frouros | 184 | about 2 months ago | : Frouros is an open source Python library for drift detection in machine learning systems |
| CometML | 148 | 25 days ago | : The best-in-class MLOps platform with experiment tracking, model production monitoring, a model registry, and data lineage from training straight through to production |
| Okrolearn | 3 | about 1 month ago | : A python machine learning library created to combine powefull data analasys feautures with tensors and machine learning components, while mantaining support for other libraries |
| DataComPy | 473 | 6 days ago | A library to compare Pandas, Polars, and Spark data frames. It provides stats and lets users adjust for match accuracy |
| DataVisualization | 39 | almost 2 years ago | A GitHub Repository Where you can Learn Datavisualizatoin Basics to Intermediate level |
| Cartopy | Cartopy is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses | ||
| SciPy | A Python-based ecosystem of open-source software for mathematics, science, and engineering | ||
| NumPy | A fundamental package for scientific computing with Python | ||
| AutoViz | 1,711 | 4 months ago | AutoViz performs automatic visualization of any dataset with a single line of Python code. Give it any input file (CSV, txt or JSON) of any size and AutoViz will visualize it. See |
| Numba | Python JIT (just in time) compiler to LLVM aimed at scientific Python by the developers of Cython and NumPy | ||
| Mars | 2,698 | 9 months ago | A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy |
| NetworkX | A high-productivity software for complex networks | ||
| igraph | binding to igraph library - General purpose graph library | ||
| Pandas | A library providing high-performance, easy-to-use data structures and data analysis tools | ||
| ParaMonte | 258 | 12 days ago | A general-purpose Python library for Bayesian data analysis and visualization via serial/parallel Monte Carlo and MCMC simulations. Documentation can be found |
| Vaex | 8,270 | 4 days ago | A high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets. Documentation can be found |
| Open Mining | 1,277 | almost 8 years ago | Business Intelligence (BI) in Python (Pandas web interface) |
| PyMC | 8,664 | 3 days ago | Markov Chain Monte Carlo sampling toolkit |
| zipline | 17,559 | 8 months ago | A Pythonic algorithmic trading library |
| PyDy | Short for Python Dynamics, used to assist with workflow in the modelling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib | ||
| SymPy | 12,838 | 4 days ago | A Python library for symbolic mathematics |
| statsmodels | 10,022 | 3 days ago | Statistical modelling and econometrics in Python |
| astropy | A community Python library for Astronomy | ||
| matplotlib | A Python 2D plotting library | ||
| bokeh | 19,247 | 11 days ago | Interactive Web Plotting for Python |
| plotly | Collaborative web plotting for Python and matplotlib | ||
| altair | 9,254 | 4 days ago | A Python to Vega translator |
| d3py | 1,415 | almost 4 years ago | A plotting library for Python, based on |
| PyDexter | 31 | over 6 years ago | Simple plotting for Python. Wrapper for D3xterjs; easily render charts in-browser |
| ggplot | 3,698 | over 1 year ago | Same API as ggplot2 for R |
| ggfortify | 527 | 3 months ago | Unified interface to ggplot2 popular R packages |
| Kartograph.py | 1,003 | almost 4 years ago | Rendering beautiful SVG maps in Python |
| pygal | A Python SVG Charts Creator | ||
| PyQtGraph | 3,867 | 8 days ago | A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy |
| pycascading | 222 | almost 5 years ago | |
| Petrel | 247 | almost 2 years ago | Tools for writing, submitting, debugging, and monitoring Storm topologies in pure Python |
| Blaze | 3,183 | about 1 year ago | NumPy and Pandas interface to Big Data |
| emcee | 1,460 | 28 days ago | The Python ensemble sampling toolkit for affine-invariant MCMC |
| windML | 129 | 8 months ago | A Python Framework for Wind Energy Analysis and Prediction |
| vispy | 3,303 | 12 days ago | GPU-based high-performance interactive OpenGL 2D/3D data visualization library |
| cerebro2 | A web-based visualization and debugging platform for NuPIC | ||
| NuPIC Studio | 94 | about 4 years ago | An all-in-one NuPIC Hierarchical Temporal Memory visualization and debugging super-tool! |
| SparklingPandas | 363 | about 1 year ago | Pandas on PySpark (POPS) |
| Seaborn | A python visualization library based on matplotlib | ||
| ipychart | 107 | about 1 month ago | The power of Chart.js in Jupyter Notebook |
| bqplot | 3,616 | 26 days ago | An API for plotting in Jupyter (IPython) |
| pastalog | 417 | over 7 years ago | Simple, realtime visualization of neural network training performance |
| Superset | 62,043 | 3 days ago | A data exploration platform designed to be visual, intuitive, and interactive |
| Dora | 644 | 9 months ago | Tools for exploratory data analysis in Python |
| Ruffus | Computation Pipeline library for python | ||
| SOMPY | 533 | over 1 year ago | Self Organizing Map written in Python (Uses neural networks for data analysis) |
| somoclu | 266 | 9 months ago | Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API |
| HDBScan | 92 | almost 7 years ago | implementation of the hdbscan algorithm in Python - used for clustering |
| visualize_ML | 197 | about 8 years ago | A python package for data exploration and data analysis |
| scikit-plot | 2,428 | about 2 months ago | A visualization library for quick and easy generation of common plots in data analysis and machine learning |
| Bowtie | 765 | about 5 years ago | A dashboard library for interactive visualizations using flask socketio and react |
| lime | 11,528 | 2 months ago | Lime is about explaining what machine learning classifiers (or models) are doing. It is able to explain any black box classifier, with two or more classes |
| PyCM | 1,442 | 11 days ago | PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters |
| Dash | 21,250 | 15 days ago | A framework for creating analytical web applications built on top of Plotly.js, React, and Flask |
| Lambdo | 23 | almost 4 years ago | A workflow engine for solving machine learning problems by combining in one analysis pipeline (i) feature engineering and machine learning (ii) model training and prediction (iii) table population and column evaluation via user-defined (Python) functions |
| TensorWatch | 3,412 | about 1 year ago | Debugging and visualization tool for machine learning and data science. It extensively leverages Jupyter Notebook to show real-time visualizations of data in running processes such as machine learning training |
| dowel | 32 | about 1 year ago | A little logger for machine learning research. Output any object to the terminal, CSV, TensorBoard, text logs on disk, and more with just one call to |
| MiniGrad | 91 | about 3 years ago | – A minimal, educational, Pythonic implementation of autograd (~100 loc) |
| Map/Reduce implementations of common ML algorithms | 59 | over 2 years ago | : Jupyter notebooks that cover how to implement from scratch different ML algorithms (ordinary least squares, gradient descent, k-means, alternating least squares), using Python NumPy, and how to then make these implementations scalable using Map/Reduce and Spark |
| BioPy | 45 | over 1 year ago | Biologically-Inspired and Machine Learning Algorithms in Python |
| CAEs for Data Assimilation | 35 | over 3 years ago | Convolutional autoencoders for 3D image/field compression applied to reduced order |
| handsonml | 25,169 | about 1 year ago | Fundamentals of machine learning in python |
| SVM Explorer | Interactive SVM Explorer, using Dash and scikit-learn | ||
| pattern_classification | 4,132 | 10 months ago | |
| thinking stats 2 | 8 | about 10 years ago | |
| hyperopt | 1,583 | 4 months ago | |
| numpic | 6,335 | about 1 year ago | |
| 2012-paper-diginorm | 8 | over 9 years ago | |
| A gallery of interesting IPython notebooks | 14,876 | 9 days ago | |
| ipython-notebooks | 565 | 10 months ago | |
| data-science-ipython-notebooks | 27,235 | 7 months ago | Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines |
| decision-weights | 33 | over 9 years ago | |
| Sarah Palin LDA | 10 | about 13 years ago | Topic Modelling the Sarah Palin emails |
| Diffusion Segmentation | 2 | about 14 years ago | A collection of image segmentation algorithms based on diffusion methods |
| Scipy Tutorials | 2 | over 14 years ago | SciPy tutorials. This is outdated, check out scipy-lecture-notes |
| Crab | 87 | about 13 years ago | A recommendation engine library for Python |
| BayesPy | 108 | over 1 year ago | Bayesian Inference Tools in Python |
| scikit-learn tutorials | 128 | almost 13 years ago | Series of notebooks for learning scikit-learn |
| sentiment-analyzer | 52 | over 12 years ago | Tweets Sentiment Analyzer |
| sentiment_classifier | 172 | over 2 years ago | Sentiment classifier using word sense disambiguation |
| group-lasso | 39 | almost 12 years ago | Some experiments with the coordinate descent algorithm used in the (Sparse) Group Lasso model |
| jProcessing | 148 | about 4 years ago | Kanji / Hiragana / Katakana to Romaji Converter. Edict Dictionary & parallel sentences Search. Sentence Similarity between two JP Sentences. Sentiment Analysis of Japanese Text. Run Cabocha(ISO--8859-1 configured) in Python |
| mne-python-notebooks | 26 | over 8 years ago | IPython notebooks for EEG/MEG data processing using mne-python |
| Neon Course | 93 | almost 2 years ago | IPython notebooks for a complete course around understanding Nervana's Neon |
| pandas cookbook | 6,633 | 3 months ago | Recipes for using Python's pandas library |
| climin | 179 | about 1 year ago | Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others |
| Allen Downey’s Data Science Course | 44 | over 2 years ago | Code for Data Science at Olin College, Spring 2014 |
| Allen Downey’s Think Bayes Code | 1,644 | over 3 years ago | Code repository for Think Bayes |
| Allen Downey’s Think Complexity Code | 98 | 4 days ago | Code for Allen Downey's book Think Complexity |
| Allen Downey’s Think OS Code | 553 | over 4 years ago | Text and supporting code for Think OS: A Brief Introduction to Operating Systems |
| Python Programming for the Humanities | Course for Python programming for the Humanities, assuming no prior knowledge. Heavy focus on text processing / NLP | ||
| GreatCircle | 78 | over 2 years ago | Library for calculating great circle distance |
| Optunity examples | Examples demonstrating how to use Optunity in synergy with machine learning libraries | ||
| Dive into Machine Learning with Python Jupyter notebook and scikit-learn | 11,262 | over 2 years ago | "I learned Python by hacking first, and getting serious I wanted to do this with Machine Learning. If this is your style, join me in getting a bit ahead of yourself." |
| TDB | 1,357 | over 7 years ago | TensorDebugger (TDB) is a visual debugger for deep learning. It features interactive, node-by-node debugging and visualization for TensorFlow |
| Suiron | 705 | almost 8 years ago | Machine Learning for RC Cars |
| Introduction to machine learning with scikit-learn | 3,665 | 7 months ago | IPython notebooks from Data School's video tutorials on scikit-learn |
| Practical XGBoost in Python | comprehensive online course about using XGBoost in Python | ||
| Introduction to Machine Learning with Python | 7,389 | 7 months ago | Notebooks and code for the book "Introduction to Machine Learning with Python" |
| Pydata book | 22,036 | 10 months ago | Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media |
| Homemade Machine Learning | 22,972 | 5 months ago | Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained |
| Prodmodel | 59 | over 2 years ago | Build tool for data science pipelines |
| the-elements-of-statistical-learning | 404 | over 2 years ago | This repository contains Jupyter notebooks implementing the algorithms found in the book and summary of the textbook |
| Hyperparameter-Optimization-of-Machine-Learning-Algorithms | 1,263 | about 2 years ago | Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms |
| Heart_Disease-Prediction | 1 | about 3 years ago | Given clinical parameters about a patient, can we predict whether or not they have heart disease? |
| Flight Fare Prediction | 1 | about 3 years ago | This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific |
| Keras Tuner | 2,848 | 2 months ago | An easy-to-use, scalable hyperparameter optimization framework that solves the pain points of hyperparameter search |
| Kinho | 32 | 11 days ago | Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning |
| nn_builder | 166 | about 1 year ago | nn_builder is a python package that lets you build neural networks in 1 line |
| NeuralTalk | 5,404 | almost 4 years ago | NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences |
| NeuralTalk | 5,500 | almost 7 years ago | NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences |
| Neuron | 40 | 2 months ago | Neuron is simple class for time series predictions. It's utilize LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neural networks learned with Gradient descent or LeLevenberg–Marquardt algorithm |
| Data Driven Code | 29 | almost 8 years ago | Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments |
| Machine Learning, Data Science and Deep Learning with Python | LiveVideo course that covers machine learning, Tensorflow, artificial intelligence, and neural networks | ||
| TResNet: High Performance GPU-Dedicated Architecture | 468 | over 1 year ago | TResNet models were designed and optimized to give the best speed-accuracy tradeoff out there on GPUs |
| TResNet: Simple and powerful neural network library for python | 162 | over 4 years ago | Variety of supported types of Artificial Neural Network and learning algorithms |
| Jina AI | An easier way to build neural search in the cloud. Compatible with Jupyter Notebooks | ||
| sequitur | 426 | 8 months ago | PyTorch library for creating and training sequence autoencoders in just two lines of code |
| Rockpool | 49 | about 2 months ago | A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware |
| Sinabs | 77 | 8 days ago | A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromorphic hardware |
| Tonic | 206 | about 1 month ago | A library that makes downloading publicly available neuromorphic datasets a breeze and provides event-based data transformation/augmentation pipelines |
| lifelines | 2,344 | 30 days ago | lifelines is a complete survival analysis library, written in pure Python |
| Scikit-Survival | 1,120 | 10 days ago | scikit-survival is a Python module for survival analysis built on top of scikit-learn. It allows doing survival analysis while utilizing the power of scikit-learn, e.g., for pre-processing or doing cross-validation |
| Flower | A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language | ||
| PySyft | 9,443 | 10 days ago | A Python library for secure and private Deep Learning |
| Tensorflow-Federated | A federated learning framework for machine learning and other computations on decentralized data | ||
| open-solution-home-credit | 450 | over 2 years ago | -> source code and for |
| open-solution-googleai-object-detection | 46 | over 2 years ago | -> source code and for |
| open-solution-salt-identification | 120 | over 3 years ago | -> source code and for |
| open-solution-ship-detection | 62 | over 2 years ago | -> source code and for |
| open-solution-data-science-bowl-2018 | 157 | over 2 years ago | -> source code and for |
| open-solution-value-prediction | 39 | over 2 years ago | -> source code and for |
| open-solution-toxic-comments | 154 | over 2 years ago | -> source code for |
| wiki challenge | 11 | almost 13 years ago | An implementation of Dell Zhang's solution to Wikipedia's Participation Challenge on Kaggle |
| kaggle insults | 150 | about 9 years ago | Kaggle Submission for "Detecting Insults in Social Commentary" |
| kaggle_acquire-valued-shoppers-challenge | 66 | over 10 years ago | Code for the Kaggle acquire valued shoppers challenge |
| kaggle-cifar | 44 | over 10 years ago | Code for the CIFAR-10 competition at Kaggle, uses cuda-convnet |
| kaggle-blackbox | 115 | over 10 years ago | Deep learning made easy |
| kaggle-accelerometer | 15 | over 10 years ago | Code for Accelerometer Biometric Competition at Kaggle |
| kaggle-advertised-salaries | 55 | over 10 years ago | Predicting job salaries from ads - a Kaggle competition |
| kaggle amazon | 25 | over 10 years ago | Amazon access control challenge |
| kaggle-bestbuy_big | 8 | over 10 years ago | Code for the Best Buy competition at Kaggle |
| kaggle-bestbuy_small | 6 | over 10 years ago | |
| Kaggle Dogs vs. Cats | 66 | almost 4 years ago | Code for Kaggle Dogs vs. Cats competition |
| Kaggle Galaxy Challenge | 493 | about 10 years ago | Winning solution for the Galaxy Challenge on Kaggle |
| Kaggle Gender | 21 | over 10 years ago | A Kaggle competition: discriminate gender based on handwriting |
| Kaggle Merck | 10 | over 10 years ago | Merck challenge at Kaggle |
| Kaggle Stackoverflow | 46 | almost 7 years ago | Predicting closed questions on Stack Overflow |
| kaggle_acquire-valued-shoppers-challenge | 66 | over 10 years ago | Code for the Kaggle acquire valued shoppers challenge |
| wine-quality | 25 | about 9 years ago | Predicting wine quality |
| DeepMind Lab | 7,105 | almost 2 years ago | DeepMind Lab is a 3D learning environment based on id Software's Quake III Arena via ioquake3 and other open source software. Its primary purpose is to act as a testbed for research in artificial intelligence, especially deep reinforcement learning |
| Gymnasium | 6,860 | 10 days ago | A library for developing and comparing reinforcement learning algorithms (successor of [gym])( ) |
| Serpent.AI | 6,749 | almost 2 years ago | Serpent.AI is a game agent framework that allows you to turn any video game you own into a sandbox to develop AI and machine learning experiments. For both researchers and hobbyists |
| ViZDoom | 1,723 | 27 days ago | ViZDoom allows developing AI bots that play Doom using only the visual information (the screen buffer). It is primarily intended for research in machine visual learning, and deep reinforcement learning, in particular |
| Roboschool | 2,118 | over 1 year ago | Open-source software for robot simulation, integrated with OpenAI Gym |
| Retro | 3,390 | 8 months ago | Retro Games in Gym |
| SLM Lab | 1,250 | about 2 years ago | Modular Deep Reinforcement Learning framework in PyTorch |
| Coach | 2,325 | almost 2 years ago | Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms |
| garage | 1,862 | over 1 year ago | A toolkit for reproducible reinforcement learning research |
| metaworld | 1,229 | about 2 months ago | An open source robotics benchmark for meta- and multi-task reinforcement learning |
| acme | An Open Source Distributed Framework for Reinforcement Learning that makes build and train your agents easily | ||
| Spinning Up | An educational resource designed to let anyone learn to become a skilled practitioner in deep reinforcement learning | ||
| Maze | 263 | 11 days ago | Application-oriented deep reinforcement learning framework addressing real-world decision problems |
| RLlib | 33,240 | 5 days ago | RLlib is an industry level, highly scalable RL library for tf and torch, based on Ray. It's used by companies like Amazon and Microsoft to solve real-world decision making problems at scale |
| DI-engine | 3,000 | 9 days ago | DI-engine is a generalized Decision Intelligence engine. It supports most basic deep reinforcement learning (DRL) algorithms, such as DQN, PPO, SAC, and domain-specific algorithms like QMIX in multi-agent RL, GAIL in inverse RL, and RND in exploration problems |
Awesome Machine Learning / Ruby | |||
| Awesome NLP with Ruby | 1,037 | over 1 year ago | Curated link list for practical natural language processing in Ruby |
| Treat | 1,365 | over 7 years ago | Text Retrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby |
| Stemmer | 251 | over 2 years ago | Expose libstemmer_c to Ruby |
| Raspell | raspell is an interface binding for ruby | ||
| UEA Stemmer | 53 | over 1 year ago | Ruby port of UEALite Stemmer - a conservative stemmer for search and indexing |
| Twitter-text-rb | 3,072 | 5 months ago | A library that does auto linking and extraction of usernames, lists and hashtags in tweets |
| Awesome Machine Learning with Ruby | 2,113 | 10 months ago | Curated list of ML related resources for Ruby |
| Ruby Machine Learning | 31 | over 12 years ago | Some Machine Learning algorithms, implemented in Ruby |
| Machine Learning Ruby | 13 | about 12 years ago | |
| jRuby Mahout | 162 | about 9 years ago | JRuby Mahout is a gem that unleashes the power of Apache Mahout in the world of JRuby |
| CardMagic-Classifier | 661 | 2 months ago | A general classifier module to allow Bayesian and other types of classifications |
| rb-libsvm | 278 | 10 months ago | Ruby language bindings for LIBSVM which is a Library for Support Vector Machines |
| Scoruby | 68 | almost 2 years ago | Creates Random Forest classifiers from PMML files |
| rumale | 776 | 6 months ago | Rumale is a machine learning library in Ruby |
| rsruby | 332 | almost 6 years ago | Ruby - R bridge |
| data-visualization-ruby | 67 | almost 15 years ago | Source code and supporting content for my Ruby Manor presentation on Data Visualisation with Ruby |
| ruby-plot | gnuplot wrapper for Ruby, especially for plotting ROC curves into SVG files | ||
| plot-rb | 42 | about 11 years ago | A plotting library in Ruby built on top of Vega and D3 |
| scruffy | 31 | over 7 years ago | A beautiful graphing toolkit for Ruby |
| SciRuby | |||
| Glean | 116 | almost 8 years ago | A data management tool for humans |
| Bioruby | 378 | about 1 year ago | |
| Arel | 268 | over 15 years ago | |
| Big Data For Chimps | 169 | over 9 years ago | |
| Listof | 29 | over 7 years ago | Community based data collection, packed in gem. Get list of pretty much anything (stop words, countries, non words) in txt, JSON or hash |
Awesome Machine Learning / Rust | |||
| smartcore | 698 | 2 months ago | "The Most Advanced Machine Learning Library In Rust." |
| linfa | 3,693 | about 2 months ago | a comprehensive toolkit to build Machine Learning applications with Rust |
| deeplearn-rs | 211 | almost 5 years ago | deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license |
| rustlearn | 616 | over 3 years ago | a machine learning framework featuring logistic regression, support vector machines, decision trees and random forests |
| rusty-machine | 1,252 | about 4 years ago | a pure-rust machine learning library |
| leaf | 5,555 | 7 months ago | open source framework for machine intelligence, sharing concepts from TensorFlow and Caffe. Available under the MIT license |
| RustNN | 332 | almost 7 years ago | RustNN is a feedforward neural network library |
| RusticSOM | 33 | almost 2 years ago | A Rust library for Self Organising Maps (SOM) |
| candle | 15,350 | 3 days ago | Candle is a minimalist ML framework for Rust with a focus on performance (including GPU support) and ease of use |
| linfa | 3,693 | about 2 months ago | aims to provide a comprehensive toolkit to build Machine Learning applications with Rust |
| tch-rs | 4,230 | 20 days ago | Rust bindings for the C++ API of PyTorch |
| dfdx | 1,709 | 2 months ago | Deep learning in Rust, with shape checked tensors and neural networks |
| burn | 8,531 | 3 days ago | Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals |
| huggingface/tokenizers | 8,926 | 4 days ago | Fast State-of-the-Art Tokenizers optimized for Research and Production |
| rust-bert | 2,593 | 6 days ago | Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...) |
Awesome Machine Learning / R | |||
| ahaz | ahaz: Regularization for semiparametric additive hazards regression | ||
| arules | arules: Mining Association Rules and Frequent Itemsets | ||
| biglasso | biglasso: Extending Lasso Model Fitting to Big Data in R | ||
| bmrm | bmrm: Bundle Methods for Regularized Risk Minimization Package | ||
| Boruta | Boruta: A wrapper algorithm for all-relevant feature selection | ||
| bst | bst: Gradient Boosting | ||
| C50 | C50: C5.0 Decision Trees and Rule-Based Models | ||
| caret | Classification and Regression Training: Unified interface to ~150 ML algorithms in R | ||
| caretEnsemble | caretEnsemble: Framework for fitting multiple caret models as well as creating ensembles of such models | ||
| CatBoost | 8,025 | 3 days ago | General purpose gradient boosting on decision trees library with categorical features support out of the box for R |
| Clever Algorithms For Machine Learning | |||
| CORElearn | CORElearn: Classification, regression, feature evaluation and ordinal evaluation. -* - CoxBoost: Cox models by likelihood based boosting for a single survival endpoint or competing risks | ||
| Cubist | Cubist: Rule- and Instance-Based Regression Modelling | ||
| e1071 | e1071: Misc Functions of the Department of Statistics (e1071), TU Wien | ||
| earth | earth: Multivariate Adaptive Regression Spline Models | ||
| elasticnet | elasticnet: Elastic-Net for Sparse Estimation and Sparse PCA | ||
| ElemStatLearn | ElemStatLearn: Data sets, functions and examples from the book: "The Elements of Statistical Learning, Data Mining, Inference, and Prediction" by Trevor Hastie, Robert Tibshirani and Jerome Friedman Prediction" by Trevor Hastie, Robert Tibshirani and Jerome Friedman | ||
| evtree | evtree: Evolutionary Learning of Globally Optimal Trees | ||
| forecast | forecast: Timeseries forecasting using ARIMA, ETS, STLM, TBATS, and neural network models | ||
| forecastHybrid | forecastHybrid: Automatic ensemble and cross validation of ARIMA, ETS, STLM, TBATS, and neural network models from the "forecast" package | ||
| fpc | fpc: Flexible procedures for clustering | ||
| frbs | frbs: Fuzzy Rule-based Systems for Classification and Regression Tasks | ||
| GAMBoost | GAMBoost: Generalized linear and additive models by likelihood based boosting | ||
| gamboostLSS | gamboostLSS: Boosting Methods for GAMLSS | ||
| gbm | gbm: Generalized Boosted Regression Models | ||
| glmnet | glmnet: Lasso and elastic-net regularized generalized linear models | ||
| glmpath | glmpath: L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model | ||
| GMMBoost | GMMBoost: Likelihood-based Boosting for Generalized mixed models | ||
| grplasso | grplasso: Fitting user specified models with Group Lasso penalty | ||
| grpreg | grpreg: Regularization paths for regression models with grouped covariates | ||
| h2o | A framework for fast, parallel, and distributed machine learning algorithms at scale -- Deeplearning, Random forests, GBM, KMeans, PCA, GLM | ||
| hda | hda: Heteroscedastic Discriminant Analysis | ||
| Introduction to Statistical Learning | |||
| ipred | ipred: Improved Predictors | ||
| kernlab | kernlab: Kernel-based Machine Learning Lab | ||
| klaR | klaR: Classification and visualization | ||
| L0Learn | L0Learn: Fast algorithms for best subset selection | ||
| lars | lars: Least Angle Regression, Lasso and Forward Stagewise | ||
| lasso2 | lasso2: L1 constrained estimation aka ‘lasso’ | ||
| LiblineaR | LiblineaR: Linear Predictive Models Based On The Liblinear C/C++ Library | ||
| LogicReg | LogicReg: Logic Regression | ||
| Machine Learning For Hackers | 3,666 | over 5 years ago | |
| maptree | maptree: Mapping, pruning, and graphing tree models | ||
| mboost | mboost: Model-Based Boosting | ||
| medley | medley: Blending regression models, using a greedy stepwise approach | ||
| mlr | mlr: Machine Learning in R | ||
| ncvreg | ncvreg: Regularization paths for SCAD- and MCP-penalized regression models | ||
| nnet | nnet: Feed-forward Neural Networks and Multinomial Log-Linear Models | ||
| pamr | pamr: Pam: prediction analysis for microarrays | ||
| party | party: A Laboratory for Recursive Partitioning | ||
| partykit | partykit: A Toolkit for Recursive Partitioning | ||
| penalized | penalized: L1 (lasso and fused lasso) and L2 (ridge) penalized estimation in GLMs and in the Cox model | ||
| penalizedLDA | penalizedLDA: Penalized classification using Fisher's linear discriminant | ||
| penalizedSVM | penalizedSVM: Feature Selection SVM using penalty functions | ||
| quantregForest | quantregForest: Quantile Regression Forests | ||
| randomForest | randomForest: Breiman and Cutler's random forests for classification and regression | ||
| randomForestSRC | randomForestSRC: Random Forests for Survival, Regression and Classification (RF-SRC) | ||
| rattle | rattle: Graphical user interface for data mining in R | ||
| rda | rda: Shrunken Centroids Regularized Discriminant Analysis | ||
| rdetools | rdetools: Relevant Dimension Estimation (RDE) in Feature Spaces | ||
| REEMtree | REEMtree: Regression Trees with Random Effects for Longitudinal (Panel) Data | ||
| relaxo | relaxo: Relaxed Lasso | ||
| rgenoud | rgenoud: R version of GENetic Optimization Using Derivatives | ||
| Rmalschains | Rmalschains: Continuous Optimization using Memetic Algorithms with Local Search Chains (MA-LS-Chains) in R | ||
| rminer | rminer: Simpler use of data mining methods (e.g. NN and SVM) in classification and regression | ||
| ROCR | ROCR: Visualizing the performance of scoring classifiers | ||
| RoughSets | RoughSets: Data Analysis Using Rough Set and Fuzzy Rough Set Theories | ||
| rpart | rpart: Recursive Partitioning and Regression Trees | ||
| RPMM | RPMM: Recursively Partitioned Mixture Model | ||
| RSNNS | RSNNS: Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS) | ||
| RWeka | RWeka: R/Weka interface | ||
| RXshrink | RXshrink: Maximum Likelihood Shrinkage via Generalized Ridge or Least Angle Regression | ||
| sda | sda: Shrinkage Discriminant Analysis and CAT Score Variable Selection | ||
| spectralGraphTopology | spectralGraphTopology: Learning Graphs from Data via Spectral Constraints | ||
| SuperLearner | 273 | 8 months ago | Multi-algorithm ensemble learning packages |
| svmpath | svmpath: svmpath: the SVM Path algorithm | ||
| tgp | tgp: Bayesian treed Gaussian process models | ||
| tree | tree: Classification and regression trees | ||
| varSelRF | varSelRF: Variable selection using random forests | ||
| XGBoost.R | 571 | over 6 years ago | R binding for eXtreme Gradient Boosting (Tree) Library |
| Optunity | A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate drop-in replacement of grid search. Optunity is written in Python but interfaces seamlessly to R | ||
| igraph | binding to igraph library - General purpose graph library | ||
| MXNet | 20,772 | 12 months ago | Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more |
| TDSP-Utilities | 372 | almost 6 years ago | Two data science utilities in R from Microsoft: 1) Interactive Data Exploration, Analysis, and Reporting (IDEAR) ; 2) Automated Modelling and Reporting (AMR) |
| dplyr | A data manipulation package that helps to solve the most common data manipulation problems | ||
| ggplot2 | A data visualization package based on the grammar of graphics | ||
| tmap | for visualizing geospatial data with static maps and for interactive maps | ||
| tm | and are the main packages for managing, analyzing, and visualizing textual data | ||
| shiny | is the basis for truly interactive displays and dashboards in R. However, some measure of interactivity can be achieved with bringing javascript libraries to R. These include, , , , and several others | ||
Awesome Machine Learning / SAS | |||
| Visual Data Mining and Machine Learning | Interactive, automated, and programmatic modelling with the latest machine learning algorithms in and end-to-end analytics environment, from data prep to deployment. Free trial available | ||
| Enterprise Miner | Data mining and machine learning that creates deployable models using a GUI or code | ||
| Factory Miner | Automatically creates deployable machine learning models across numerous market or customer segments using a GUI | ||
| SAS/STAT | For conducting advanced statistical analysis | ||
| University Edition | FREE! Includes all SAS packages necessary for data analysis and visualization, and includes online SAS courses | ||
| Contextual Analysis | Add structure to unstructured text using a GUI | ||
| Sentiment Analysis | Extract sentiment from text using a GUI | ||
| Text Miner | Text mining using a GUI or code | ||
| ML_Tables | 126 | 9 months ago | Concise cheat sheets containing machine learning best practices |
| enlighten-apply | 126 | 9 months ago | Example code and materials that illustrate applications of SAS machine learning techniques |
| enlighten-integration | 60 | 2 months ago | Example code and materials that illustrate techniques for integrating SAS with other analytics technologies in Java, PMML, Python and R |
| enlighten-deep | 19 | 2 months ago | Example code and materials that illustrate using neural networks with several hidden layers in SAS |
| dm-flow | 58 | 2 months ago | Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics |
Awesome Machine Learning / Scala | |||
| ScalaNLP | ScalaNLP is a suite of machine learning and numerical computing libraries | ||
| Breeze | 3,445 | about 1 month ago | Breeze is a numerical processing library for Scala |
| Chalk | 258 | over 7 years ago | Chalk is a natural language processing library |
| FACTORIE | 552 | almost 7 years ago | FACTORIE is a toolkit for deployable probabilistic modelling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference |
| Montague | 59 | about 2 years ago | Montague is a semantic parsing library for Scala with an easy-to-use DSL |
| Spark NLP | 3,827 | 1 day ago | Natural language processing library built on top of Apache Spark ML to provide simple, performant, and accurate NLP annotations for machine learning pipelines, that scale easily in a distributed environment |
| NDScala | 47 | almost 2 years ago | N-dimensional arrays in Scala 3. Think NumPy ndarray, but with compile-time type-checking/inference over shapes, tensor/axis labels & numeric data types |
| MLlib in Apache Spark | Distributed machine learning library in Spark | ||
| Hydrosphere Mist | 326 | almost 4 years ago | a service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services |
| Scalding | 3,495 | over 1 year ago | A Scala API for Cascading |
| Summing Bird | 2,140 | over 2 years ago | Streaming MapReduce with Scalding and Storm |
| Algebird | 2,288 | about 2 months ago | Abstract Algebra for Scala |
| xerial | 19 | almost 8 years ago | Data management utilities for Scala |
| PredictionIO | 12,548 | over 3 years ago | PredictionIO, a machine learning server for software developers and data engineers |
| BIDMat | 265 | over 3 years ago | CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis |
| Flink | Open source platform for distributed stream and batch data processing | ||
| Spark Notebook | Interactive and Reactive Data Science using Scala and Spark | ||
| Microsoft ML for Apache Spark | 5,054 | 4 days ago | -> A distributed machine learning framework Apache Spark |
| ONNX-Scala | 137 | 28 days ago | An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3) |
| DeepLearning.scala | Creating statically typed dynamic neural networks from object-oriented & functional programming constructs | ||
| Conjecture | 361 | over 6 years ago | Scalable Machine Learning in Scalding |
| brushfire | 391 | over 5 years ago | Distributed decision tree ensemble learning in Scala |
| ganitha | 109 | almost 10 years ago | Scalding powered machine learning |
| adam | 998 | about 1 month ago | A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed |
| bioscala | 109 | 8 months ago | Bioinformatics for the Scala programming language |
| BIDMach | 916 | about 2 years ago | CPU and GPU-accelerated Machine Learning Library |
| Figaro | 756 | over 2 years ago | a Scala library for constructing probabilistic models |
| H2O Sparkling Water | 962 | 3 days ago | H2O and Spark interoperability |
| FlinkML in Apache Flink | Distributed machine learning library in Flink | ||
| DynaML | 200 | over 1 year ago | Scala Library/REPL for Machine Learning Research |
| Saul | 64 | over 4 years ago | Flexible Declarative Learning-Based Programming |
| SwiftLearner | 39 | over 1 year ago | Simply written algorithms to help study ML or write your own implementations |
| Smile | Statistical Machine Intelligence and Learning Engine | ||
| doddle-model | 137 | about 2 months ago | An in-memory machine learning library built on top of Breeze. It provides immutable objects and exposes its functionality through a scikit-learn-like API |
| TensorFlow Scala | 937 | over 2 years ago | Strongly-typed Scala API for TensorFlow |
Awesome Machine Learning / Scheme | |||
| layer | 558 | over 5 years ago | Neural network inference from the command line, implemented in |
Awesome Machine Learning / Swift | |||
| Bender | 1,795 | 11 months ago | Fast Neural Networks framework built on top of Metal. Supports TensorFlow models |
| Swift AI | 6,031 | over 7 years ago | Highly optimized artificial intelligence and machine learning library written in Swift |
| Swift for Tensorflow | 6,122 | over 2 years ago | a next-generation platform for machine learning, incorporating the latest research across machine learning, compilers, differentiable programming, systems design, and beyond |
| BrainCore | 379 | over 7 years ago | The iOS and OS X neural network framework |
| swix | 593 | over 4 years ago | A bare bones library that includes a general matrix language and wraps some OpenCV for iOS development |
| AIToolbox | 793 | about 4 years ago | A toolbox framework of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians |
| MLKit | 152 | about 6 years ago | A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression |
| Swift Brain | 334 | over 7 years ago | The first neural network / machine learning library written in Swift. This is a project for AI algorithms in Swift for iOS and OS X development. This project includes algorithms focused on Bayes theorem, neural networks, SVMs, Matrices, etc |
| Perfect TensorFlow | 168 | about 4 years ago | Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux |
| PredictionBuilder | 12 | 9 months ago | A library for machine learning that builds predictions using a linear regression |
| Awesome CoreML | 569 | almost 5 years ago | A curated list of pretrained CoreML models |
| Awesome Core ML Models | 6,423 | over 1 year ago | A curated list of machine learning models in CoreML format |
Awesome Machine Learning / TensorFlow | |||
| Awesome Keras | 19 | almost 2 years ago | A curated list of awesome Keras projects, libraries and resources |
| Awesome TensorFlow | 17,188 | 6 months ago | A list of all things related to TensorFlow |
| Golden TensorFlow | A page of content on TensorFlow, including academic papers and links to related topics | ||
Awesome Machine Learning / Tools | |||
| layer | 558 | over 5 years ago | Neural network inference from the command line |
| Wallaroo.AI | Production AI plaftorm for deploying, managing, and observing any model at scale across any envirorment from cloud to edge. Let's you go from python notebook to inferencing in minutes | ||
| Infinity | 2,444 | 10 days ago | The AI-native database built for LLM applications, providing incredibly fast vector and full-text search. Developed using C++20 |
| Synthical | AI-powered collaborative research environment. You can use it to get recommendations of articles based on reading history, simplify papers, find out what articles are trending, search articles by meaning (not just keywords), create and share folders of articles, see lists of articles from specific companies and universities, and add highlights | ||
| Humanloop | – Humanloop is a platform for prompt experimentation, finetuning models for better performance, cost optimization, and collecting model generated data and user feedback | ||
| Qdrant | – Qdrant is vector similarity search engine with extended filtering support, written in Rust | ||
| milvus | – Milvus is vector database for production AI, written in Go and C++, scalable and blazing fast for billions of embedding vectors | ||
| Weaviate | – Weaviate is an vector search engine and vector database. Weaviate uses machine learning to vectorize and store data, and to find answers to natural language queries. With Weaviate you can also bring your custom ML models to production scale | ||
| txtai | 8,771 | 11 days ago | Build semantic search applications and workflows |
| MLReef | MLReef is an end-to-end development platform using the power of git to give structure and deep collaboration possibilities to the ML development process | ||
| Chroma | Chroma - the AI-native open-source embedding database | ||
| Pinecone | Vector database for applications that require real-time, scalable vector embedding and similarity search | ||
| CatalyzeX | Browser extension ( and ) that automatically finds and shows code implementations for machine learning papers anywhere: Google, Twitter, Arxiv, Scholar, etc | ||
| ML Workspace | 3,405 | 2 months ago | All-in-one web-based IDE for machine learning and data science. The workspace is deployed as a docker container and is preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch) and dev tools (e.g., Jupyter, VS Code) |
| Notebooks | 32 | about 1 month ago | A starter kit for Jupyter notebooks and machine learning. Companion docker images consist of all combinations of python versions, machine learning frameworks (Keras, PyTorch and Tensorflow) and CPU/CUDA versions |
| DVC | 13,667 | 5 days ago | Data Science Version Control is an open-source version control system for machine learning projects with pipelines support. It makes ML projects reproducible and shareable |
| DVClive | 163 | 12 days ago | Python library for experiment metrics logging into simply formatted local files |
| VDP | 2,074 | 10 days ago | open source visual data ETL to streamline the end-to-end visual data processing pipeline: extract unstructured visual data from pre-built data sources, transform it into analysable structured insights by Vision AI models imported from various ML platforms, and load the insights into warehouses or applications |
| Kedro | 9,876 | 4 days ago | Kedro is a data and development workflow framework that implements best practices for data pipelines with an eye towards productionizing machine learning models |
| guild.ai | Tool to log, analyze, compare and "optimize" experiments. It's cross-platform and framework independent, and provided integrated visualizers such as tensorboard | ||
| Sacred | 4,220 | about 1 month ago | Python tool to help you configure, organize, log and reproduce experiments. Like a notebook lab in the context of Chemistry/Biology. The community has built multiple add-ons leveraging the proposed standard |
| Comet | ML platform for tracking experiments, hyper-parameters, artifacts and more. It's deeply integrated with over 15+ deep learning frameworks and orchestration tools. Users can also use the platform to monitor their models in production | ||
| MLFlow | platform to manage the ML lifecycle, including experimentation, reproducibility and deployment. Framework and language agnostic, take a look at all the built-in integrations | ||
| Weights & Biases | Machine learning experiment tracking, dataset versioning, hyperparameter search, visualization, and collaboration | ||
| Catalyst | 3,279 | 7 months ago | More tools to improve the ML lifecycle: , . The following are GitHub-alike and targeting teams , , , , |
| Arize AI | Model validaiton and performance monitoring, drift detection, explainability, visualization across structured and unstructured data | ||
| MachineLearningWithTensorFlow2ed | a book on general purpose machine learning techniques regression, classification, unsupervised clustering, reinforcement learning, auto encoders, convolutional neural networks, RNNs, LSTMs, using TensorFlow 1.14.1 | ||
| m2cgen | 2,800 | 2 months ago | A tool that allows the conversion of ML models into native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart) with zero dependencies |
| CML | 4,006 | 10 days ago | A library for doing continuous integration with ML projects. Use GitHub Actions & GitLab CI to train and evaluate models in production like environments and automatically generate visual reports with metrics and graphs in pull/merge requests. Framework & language agnostic |
| Pythonizr | An online tool to generate boilerplate machine learning code that uses scikit-learn | ||
| Flyte | Flyte makes it easy to create concurrent, scalable, and maintainable workflows for machine learning and data processing | ||
| Chaos Genius | 728 | 23 days ago | ML powered analytics engine for outlier/anomaly detection and root cause analysis |
| MLEM | 716 | about 1 year ago | Version and deploy your ML models following GitOps principles |
| DockerDL | 75 | 16 days ago | Ready to use deeplearning docker images |
| Aqueduct | 520 | over 1 year ago | Aqueduct enables you to easily define, run, and manage AI & ML tasks on any cloud infrastructure |
| Ambrosia | 114 | over 1 year ago | Ambrosia helps you clean up your LLM datasets using LLMs |
Awesome Machine Learning / Books | |||
| Distributed Machine Learning Patterns | 378 | about 2 months ago | This book teaches you how to take machine learning models from your personal laptop to large distributed clusters. You’ll explore key concepts and patterns behind successful distributed machine learning systems, and learn technologies like TensorFlow, Kubernetes, Kubeflow, and Argo Workflows directly from a key maintainer and contributor, with real-world scenarios and hands-on projects |
| Grokking Machine Learning | Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math | ||
| Machine Learning Bookcamp | Learn the essentials of machine learning by completing a carefully designed set of real-world projects | ||
| Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow | Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems | ||
| Netron | An opensource viewer for neural network, deep learning and machine learning models | ||
| Teachable Machine | Train Machine Learning models on the fly to recognize your own images, sounds, & poses | ||
| Model Zoo | Discover open source deep learning code and pretrained models | ||
Awesome Machine Learning / Credits | |||
| vinta | 220,437 | about 2 months ago | Some of the python libraries were cut-and-pasted from |
| gopherdata | 872 | about 1 year ago | References for Go were mostly cut-and-pasted from |
Backlinks from these awesome lists:
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jbhuang0604/awesome-computer-vision
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kiloreux/awesome-robotics
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