awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

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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 12 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 578 over 1 year ago A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support
CCV 7,078 14 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 22 days ago VIGRA is a genertic cross-platform C++ computer vision and machine learning library for volumes of arbitrary dimensionality with Python bindings
Openpose 30,966 2 months ago A real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Speedster 8,378 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 10 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 17,505 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 2,516 17 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 4,412 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 3,419 11 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 435 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 608 4 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 16,568 6 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 3,595 8 days ago An open-source cross-platform performance library for deep learning applications
ParaMonte 262 8 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 12 days ago A parallelized optimized general purpose gradient boosting library
ThunderGBM 692 9 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 almost 4 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 22 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 13 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 1,146 12 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 14 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 243 8 days 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 16 days ago Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer
libfolia 15 18 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 2,918 about 2 years ago C, C++, and Python tools for named entity recognition and relation extraction
ucto 65 18 days ago Unicode-aware regular-expression based tokenizer for various languages. Tool and C++ library. Supports FoLiA format
Kaldi 14,188 8 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 36 4 months ago This is an object-oriented framework that facilitates the integration of probabilistic models for sequences over a user defined alphabet
grt 863 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 201 3 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 about 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 217 5 months ago Rails-like inflection library for Clojure and ClojureScript
scicloj.ml 210 3 days 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 over 9 years ago Basic Machine Learning algorithms in Clojure
clortex 183 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 9 days 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 663 20 days ago Clojure dataframe library and pipeline for data processing and machine learning
Tablecloth 291 8 days 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 285 11 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 833 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 1,082 28 days ago Interop with Python
ClojisR 151 20 days ago Interop with R and Renjin (R on the JVM)
Neanderthal Fast Clojure Matrix Library (native CPU, GPU, OpenCL, CUDA)
kixistats 360 8 days ago A library of statistical distribution sampling and transducing functions
fastmath 228 15 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 84 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 16 days 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 402 29 days ago A parallel neural net microframework. Read the paper
ParaMonte 262 8 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 283 4 months ago Cybertron: the home planet of the Transformers in Go
snowball 45 about 1 year ago Snowball Stemmer for Go
word-embedding 472 over 1 year ago Word Embeddings: the full implementation of word2vec, GloVe in Go
sentences 436 8 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 46 about 5 years ago A recommendation library in Go
eaopt 885 7 months ago An evolutionary optimization library
leaves 429 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 2 months 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 5,515 2 months ago Deep learning in Go
goro 372 7 months ago A high-level machine learning library in the vein of Keras
gorse 8,493 2 months ago An offline recommender system backend based on collaborative filtering written in Go
therfoo 18 over 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 846 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 398 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 over 10 years ago Random forests implementation in Go
GoCV 6,626 9 days ago Package for computer vision using OpenCV 4 and beyond
gold 340 almost 4 years ago A reinforcement learning library
stable-baselines3 8,836 24 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 1,624 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 6 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 over 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 19 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 58 4 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 11 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 13 days ago ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON
htm.java 311 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 2,136 8 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 69 2 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 11 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 14,676 7 days ago Hadoop/HDFS
Onyx 2,050 about 5 years ago Distributed, masterless, high performance, fault tolerant data processing. Written entirely in Clojure
Spark 39,387 12 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 13,630 29 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 4,091 6 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 6 months ago A JavaScript implementation of Twitter's text processing library
natural 10,583 2 months ago General natural language facilities for node
Knwl.js 5,294 about 1 year ago A Natural Language Processor in JS
Retext 2,360 9 days ago Extensible system for analyzing and manipulating natural language
NLP Compromise 11,433 2 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 886 almost 4 years ago Scientific and statistical computing in JavaScript
Z3d 88 almost 10 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 about 1 year 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 185 almost 8 years ago FANN (Fast Artificial Neural Network Library) bindings for Node.js
Keras.js 4,961 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 539 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 16 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 2,540 8 months ago Machine learning and numerical analysis tools for Node.js and the Browser!
ml5 6,457 1 day 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 11 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 1,975 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 4,359 1 day 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 3,395 10 days 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 12 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 almost 4 years ago Julia package for Regularized Discriminant Analysis
Regression 63 over 7 years ago Algorithms for regression analysis (e.g. linear regression and logistic regression)
Local Regression 103 about 1 month ago Local regression, so smooooth!
Naive Bayes 8 over 11 years ago Simple Naive Bayes implementation in Julia
Mixed Models 405 12 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 428 10 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 254 over 2 years ago Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia
GLM 593 12 days ago Generalized linear models in Julia
Gaussian Processes 307 over 1 year ago Julia package for Gaussian processes
Online Learning 14 almost 10 years ago
GLMNet 96 5 days ago Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet
Clustering 355 5 months ago Basic functions for clustering data: k-means, dp-means, etc
SVM 40 about 8 years ago SVM for Julia
Kernel Density 178 5 months ago Kernel density estimators for Julia
MultivariateStats 376 4 months ago Methods for dimensionality reduction
NMF 90 about 2 months 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 99 6 months ago Large scale Gaussian Mixture Models
ScikitLearn 546 over 1 year ago Julia implementation of the scikit-learn API
Knet 1,428 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 374 19 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 about 3 years ago Graph modelling and analysis
Data Frames Meta 481 25 days ago Metaprogramming tools for DataFrames
Julia Data 6 about 11 years ago library for working with tabular data in Julia
Data Read 78 10 months ago Read files from Stata, SAS, and SPSS
Hypothesis Tests 296 10 days ago Hypothesis tests for Julia
Gadfly 1,900 7 months ago Crafty statistical graphics for Julia
Stats 140 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 1,729 19 days ago library for working with tabular data in Julia
Distributions 1,106 1 day 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 381 1 day ago Digital Signal Processing (filtering, periodograms, spectrograms, window functions)
JuliaCon Presentations 69 over 8 years ago Presentations for JuliaCon
SignalProcessing 381 1 day 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 1,460 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 1,341 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 338 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 6,372 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 6,011 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 845 over 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 262 8 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 6 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 11 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 over 5 years ago OCaml bindings for TensorFlow

Awesome Machine Learning / OpenCV / OpenSource-Computer-Vision

OpenCV 78,425 3 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 11 days ago A collection of algorithms for image processing in Python
Scikit-Opt 5,211 4 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 22 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 12,077 2 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 1,175 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 26,249 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 about 1 month 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 12 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 20 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 4,530 4 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 241 5 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 3 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 30,966 2 months ago A real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Deep High-Resolution-Net 4,315 about 1 month ago A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
TF-GAN 929 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 3,097 3 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 5,348 7 days 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 2,535 5 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 31,709 10 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 9,505 1 day 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 4,735 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 16,674 4 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 about 1 month ago Python binding to ucto (a unicode-aware rule-based tokenizer for various languages)
python-frog 47 about 1 month 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 29,804 11 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 33 8 days ago Blazing fast, lightweight and customizable fuzzy and semantic text search in Python with fuzzywuzzy/thefuzz compatible API
jellyfish 2,049 about 1 month ago a python library for doing approximate and phonetic matching of strings
editdistance fast implementation of edit distance
textacy 2,209 about 1 year ago higher-level NLP built on Spacy
stanford-corenlp-python 611 over 6 years ago Python wrapper for
CLTK 835 about 2 months ago The Classical Language Toolkit
Rasa 18,752 26 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 4,475 about 1 year ago Reading Wikipedia to answer open-domain questions
Dedupe 4,115 6 days ago A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution
Snips NLU 3,889 over 1 year ago Natural Language Understanding library for intent classification and entity extraction
NeuroNER 1,693 over 1 year ago Named-entity recognition using neural networks providing state-of-the-art-results
DeepPavlov 6,680 4 days 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 443 about 1 month ago A deep learning-based translation library between 50 languages, built with
Haystack 17,024 4 days ago A framework for building industrial-strength applications with Transformer models and LLMs
CometLLM 1,480 11 days ago Track, log, visualize and evaluate your LLM prompts and prompt chains
Transformers 133,213 1 day 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 11 days ago -> An easy-to-use & supercharged open-source AI metadata tracker
RexMex 276 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 11 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 3,085 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 1,233 about 1 year ago
PyTorch Frame 506 4 days ago -> A Modular Framework for Multi-Modal Tabular Learning
PyTorch Geometric 21,076 10 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 520 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 8,491 about 1 month 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 17,505 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 1,081 8 days ago High performance library for time series distances (DTW) and time series clustering
einops 8,404 21 days ago Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
machine learning 257 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 12 days ago Python bindings for eXtreme Gradient Boosting (Tree) Library
ChefBoost 454 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 4 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 868 3 days ago A PyTorch-based framework to train and validate the models producing high-quality embeddings
Intel(R) Extension for Scikit-learn 1,212 1 day ago A seamless way to speed up your Scikit-learn applications with no accuracy loss and code changes
SimpleAI 966 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 13 days ago High-level neural networks frontend for , and
Lasagne 3,844 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 5,888 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 100 about 2 months ago Interactive topic model visualization/interpretation framework
topik 93 over 8 years ago Topic modelling toolkit
PyBrain 2,856 4 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 1,179 almost 4 years ago A flexible, fast recommender engine
python-recsys 1,475 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 948 over 4 years ago -Restricted Boltzmann Machines in Python. [DEEP LEARNING]
Bolt 87 about 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 9 days 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 325 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 8,020 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 551 about 1 month 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 12 days ago Open source software library for numerical computation using data flow graphs
pomegranate 3,354 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 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 3,872 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 15,972 4 months ago Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING]
Annoy 13,140 3 months ago Approximate nearest neighbours implementation
TPOT 9,685 3 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 10 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 374 almost 3 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 281 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 1,267 over 6 years ago A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling
PyTorch 82,603 11 days ago Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch Lightning 28,147 4 days ago The lightweight PyTorch wrapper for high-performance AI research
PyTorch Lightning Bolts 1,684 5 days ago Toolbox of models, callbacks, and datasets for AI/ML researchers
skorch 5,844 22 days ago A scikit-learn compatible neural network library that wraps PyTorch
ML-From-Scratch 23,888 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 56 almost 7 years ago A library for Restricted Boltzmann Machine (RBM) and its conditional variants in Tensorflow
CatBoost 8,025 10 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 2,205 8 months ago A modular active learning framework for Python, built on top of scikit-learn
Cogitare 76 6 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 11,195 12 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 845 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 10 days ago Open Source framework to streamline use of neural networks
Microsoft Recommenders 18,904 6 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 7,036 12 days ago : Toolkit for package and deploy machine learning models for serving in production
MiraiML 26 almost 5 years ago : An asynchronous engine for continuous & autonomous machine learning, built for real-time usage
numpy-ML 15,309 12 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 868 28 days ago A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data
JAX 30,101 8 days 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 26,181 17 days ago High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering
scikit-multiflow 759 12 months ago A machine learning framework for multi-output/multi-label and stream data
Lightwood 442 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 3,023 3 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 3,005 4 days ago Scalable deep learning training platform, including integrated support for distributed training, hyperparameter tuning, experiment tracking, and model management
PySyft 9,464 3 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 11 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 600 about 2 months ago Python-based meta-heuristic optimization techniques
Gradio 32,605 3 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 15 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 54 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 5,032 9 days ago : A framework for general purpose online machine learning
FEDOT 635 12 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 25 days ago : An AutoML package for hyperparameters tuning using evolutionary algorithms, with built-in callbacks, plotting, remote logging and more
Evidently 5,193 11 days ago : Interactive reports to analyze machine learning models during validation or production monitoring
Streamlit 34,890 10 days ago : Streamlit is an framework to create beautiful data apps in hours, not weeks
Optuna 10,676 4 days ago : Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning
Deepchecks 3,578 17 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 25 days ago : Shapash is a Python library that provides several types of visualization that display explicit labels that everyone can understand
Eurybia 205 2 days ago : Eurybia monitors data and model drift over time and securizes model deployment with data validation
Colossal-AI 38,709 4 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 314 4 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 620 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 22 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 9,534 12 days ago : The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels
AutoGluon 7,768 9 days ago : AutoML for Image, Text, Tabular, Time-Series, and MultiModal Data
PyBroker 1,966 20 days ago Algorithmic Trading with Machine Learning
Frouros 187 1 day ago : Frouros is an open source Python library for drift detection in machine learning systems
CometML 148 5 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 13 days ago A library to compare Pandas, Polars, and Spark data frames. It provides stats and lets users adjust for match accuracy
DataVisualization 41 about 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 2,704 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 262 8 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 11 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 1,278 almost 8 years ago Business Intelligence (BI) in Python (Pandas web interface)
PyMC 8,664 10 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 11 days ago A Python library for symbolic mathematics
statsmodels 10,022 10 days ago Statistical modelling and econometrics in Python
astropy A community Python library for Astronomy
matplotlib A Python 2D plotting library
bokeh 19,272 10 days ago Interactive Web Plotting for Python
plotly Collaborative web plotting for Python and matplotlib
altair 9,254 11 days ago A Python to Vega translator
d3py 1,416 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 4 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 15 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 1,464 5 days ago The Python ensemble sampling toolkit for affine-invariant MCMC
windML 129 9 months ago A Python Framework for Wind Energy Analysis and Prediction
vispy 3,303 19 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 362 over 1 year ago Pandas on PySpark (POPS)
Seaborn A python visualization library based on matplotlib
ipychart 107 about 2 months ago The power of Chart.js in Jupyter Notebook
bqplot 3,616 about 1 month 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 10 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 267 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 11,552 3 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 1,447 1 day 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 22 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 92 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 36 almost 4 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 11 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 16 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 9 over 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 6,638 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 11 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 about 8 years ago Machine Learning for RC Cars
Introduction to machine learning with scikit-learn 3,668 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 22,092 10 months ago Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Homemade Machine Learning 23,001 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 2,853 2 months ago An easy-to-use, scalable hyperparameter optimization framework that solves the pain points of hyperparameter search
Kinho 32 3 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 5,407 almost 4 years ago NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences
NeuralTalk 5,505 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 almost 2 years 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 427 8 months ago PyTorch library for creating and training sequence autoencoders in just two lines of code
Rockpool 50 1 day ago A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware
Sinabs 77 1 day 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 207 about 2 months ago A library that makes downloading publicly available neuromorphic datasets a breeze and provides event-based data transformation/augmentation pipelines
lifelines 2,349 about 1 month ago lifelines is a complete survival analysis library, written in pure Python
Scikit-Survival 1,124 6 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 9,464 3 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 452 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 63 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 about 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 6,986 4 days ago A library for developing and comparing reinforcement learning algorithms (successor of [gym])( )
Serpent.AI 6,759 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 1,725 about 1 month 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 2,119 over 1 year ago Open-source software for robot simulation, integrated with OpenAI Gym
Retro 3,393 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 1,245 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 265 18 days ago Application-oriented deep reinforcement learning framework addressing real-world decision problems
RLlib 33,240 13 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 17 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 1,040 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 6 months ago A library that does auto linking and extraction of usernames, lists and hashtags in tweets
Awesome Machine Learning with Ruby 2,117 11 months ago Curated list of ML related resources for Ruby
Ruby Machine Learning 31 almost 13 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 7 months ago Rumale is a machine learning library in Ruby
rsruby 332 about 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 over 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 10 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 27 days ago Rust bindings for the C++ API of PyTorch
dfdx 1,709 3 months ago Deep learning in Rust, with shape checked tensors and neural networks
burn 8,531 10 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 11 days ago Fast State-of-the-Art Tokenizers optimized for Research and Production
rust-bert 2,593 13 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 10 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 3,669 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 3 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 3,447 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 9 days 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 12,547 almost 4 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 11 days ago -> A distributed machine learning framework Apache Spark
ONNX-Scala 137 about 1 month 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 almost 6 years ago Distributed decision tree ensemble learning in Scala
ganitha 109 almost 10 years ago Scalding powered machine learning
adam 998 about 2 months 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 10 days ago H2O and Spark interoperability
FlinkML in Apache Flink Distributed machine learning library in Flink
DynaML 201 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 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 557 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 6,028 over 7 years ago Highly optimized artificial intelligence and machine learning library written in Swift
Swift for Tensorflow 6,124 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 over 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 570 almost 5 years ago A curated list of pretrained CoreML models
Awesome Core ML Models 6,432 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 17,192 7 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 557 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 2,491 3 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 8,833 13 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 3 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 12 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 5 days ago Python library for experiment metrics logging into simply formatted local files
VDP 2,094 4 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 12 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 4,232 about 2 months 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 4,012 7 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 about 1 month 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 23 days ago Ready to use deeplearning docker images
Aqueduct 521 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 381 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 221,325 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

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