awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

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Awesome Production Machine Learning / 10 Min Video Overview

10 minute video This provides an overview of the motivations for machine learning operations as well as a high level overview on some of the tools in this repo. This covers the an updated 2022 version of the state of MLOps

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Awesome Artificial Intelligence Guidelines 1,248 23 days ago Also check out the List, where we aim to map the landscape of "Frameworks", "Codes of Ethics", "Guidelines", "Regulations", etc related to Artificial Intelligence
EthicalML/awesome-artificial-intelligence-guidelines 1,248 23 days ago

Main Content / Adversarial Robustness

AdvBox 1,380 over 1 year ago A toolbox to generate adversarial examples that fool neural networks in PaddlePaddle, PyTorch, Caffe2, MxNet, Keras, TensorFlow, and Advbox can benchmark the robustness of machine learning models
Adversarial DNN Playground 129 over 1 year ago think , but for Adversarial Examples! A visualization tool designed for learning and teaching - the attack library is limited in size, but it has a nice front-end to it with buttons you can press!
AdverTorch 1,294 about 1 year ago library for adversarial attacks / defenses specifically for PyTorch
ART 4,796 5 days ago ART (Adversarial Robustness Toolbox) provides tools that enable developers and researchers to defend and evaluate Machine Learning models and applications against the adversarial threats of Evasion, Poisoning, Extraction, and Inference
Artificial Adversary 395 almost 3 years ago AirBnB's library to generate text that reads the same to a human but passes adversarial classifiers
Counterfit 801 about 1 year ago Counterfit is a command-line tool and generic automation layer for assessing the security of machine learning systems
Factool 812 about 2 months ago Factool is a tool augmented framework for detecting factual errors of texts generated by large language models
Foolbox 2,734 6 months ago Foolbox is a Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
MIA 137 almost 2 years ago A library for running membership inference attacks (MIA) against machine learning models
NeMo Guardrails 4,053 8 days ago NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems
OpenAttack 682 about 1 year ago OpenAttack is a Python-based textual adversarial attack toolkit, which handles the whole process of textual adversarial attacking, including preprocessing text, accessing the victim model, generating adversarial examples and evaluation

Main Content / AutoML

AutoGluon 7,768 8 days ago Automated feature, model, and hyperparameter selection for tabular, image, and text data on top of popular machine learning libraries (Scikit-Learn, LightGBM, CatBoost, PyTorch, MXNet)
Autokeras 9,128 7 months ago AutoML library for Keras based on
auto-sklearn 7,579 16 days ago Framework to automate algorithm and hyperparameter tuning for sklearn
Feature Engine 1,883 6 days ago Feature-engine is a Python library that contains several transformers to engineer features for use in machine learning models
Featuretools 7,223 22 days ago An open source framework for automated feature engineering
FLAML 3,874 12 days ago FLAML is a fast library for automated machine learning & tuning
go-featureprocessing 118 about 2 months ago A feature pre-processing framework in Go that matches functionality of sklearn
HEBO 3,254 24 days ago Set of open-source hyperparameter optimization frameworks, including the winning submission to the tested on hyperparameter tuning tasks
Katib 1,491 12 days ago A Kubernetes-based system for Hyperparameter Tuning and Neural Architecture Search
keras-tuner 2,853 2 months ago Keras Tuner is an easy-to-use, distributable hyperparameter optimisation framework that solves the pain points of performing a hyperparameter search. Keras Tuner makes it easy to define a search space and leverage included algorithms to find the best hyperparameter values
Neural Architecture Search with Controller RNN 430 about 3 years ago Basic implementation of Controller RNN from and
Neural Network Intelligence 14,003 3 months ago NNI (Neural Network Intelligence) is a toolkit to help users run automated machine learning (AutoML) experiments
Optuna 10,676 4 days ago Optuna is an automatic hyperparameter optimisation software framework, particularly designed for machine learning
OSS Vizier 1,453 9 days ago OSS Vizier is a Python-based service for black-box optimisation and research, one of the first hyperparameter tuning services designed to work at scale
sklearn-deap 771 8 months ago Use evolutionary algorithms instead of gridsearch in scikit-learn
TPOT 9,685 3 months ago Automation of sklearn pipeline creation (including feature selection, pre-processor, etc.)
tsfresh 8,380 2 months ago Automatic extraction of relevant features from time series
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

Main Content / Computation Load Distribution

Apache Beam 7,805 8 days ago Apache Beam is a unified programming model for Batch and Streaming
Bagua 872 2 months ago Bagua is a performant and flexible distributed training framework for PyTorch, providing a faster alternative to PyTorch DDP and Horovod. It supports advanced distributed training algorithms such as quantization and decentralization
Colossal-AI 38,709 4 days ago A unified deep learning system for big model era, which helps users to efficiently and quickly deploy large AI model training and inference
Dask 12,468 5 days ago Distributed parallel processing framework for Pandas and NumPy computations -
DEAP 5,790 2 months ago A novel evolutionary computation framework for rapid prototyping and testing of ideas. It seeks to make algorithms explicit and data structures transparent. It works in perfect harmony with parallelisation mechanisms such as multiprocessing and SCOOP
DeepSpeed 34,973 9 days ago A deep learning optimization library (lightweight PyTorch wrapper) that makes distributed training easy, efficient, and effective
DLRover 1,223 13 days ago DLRover makes the distributed training of large AI models easy, stable, fast and green
einops 8,404 21 days ago Flexible and powerful tensor operations for readable and reliable code
Fiber 1,043 over 1 year ago Distributed computing library for modern computer clusters from Uber
Flashlight 5,265 2 months ago A fast, flexible machine learning library written entirely in C++ from the Facebook AI Research and the creators of Torch, TensorFlow, Eigen and Deep Speech
Hivemind 2,004 3 months ago Decentralized deep learning in PyTorch
Horovod 14,187 about 1 month ago Uber's distributed training framework for TensorFlow, Keras, and PyTorch
Liger Kernel 3,152 8 days ago Liger Kernel is a collection of Triton kernels designed specifically for LLM training
LightGBM 16,568 6 days ago LightGBM is a gradient boosting framework that uses tree based learning algorithms
PaddlePaddle 22,136 1 day ago PaddlePaddle is a framework to perform large-scale deep network training, using data sources distributed across hundreds of nodes
PyTorch Lightning 28,147 4 days ago PyTorch Lightning pretrains, finetunes and deploys AI models on multiple GPUs, TPUs with zero code changes
PyWren 846 8 months ago Answer the question of the "cloud button" for python function execution. It's a framework that abstracts AWS Lambda to enable data scientists to execute any Python function -
Ray 33,240 13 days ago Ray is a flexible, high-performance distributed execution framework for machine learning ( )
TensorFlowOnSpark 3,873 over 1 year ago TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters
Vespa 5,697 3 days ago Vespa is an engine for low-latency computation over large data sets

Main Content / Data Labelling and Synthesis

Argilla 3,866 1 day ago Argilla helps domain experts and data teams to build better NLP datasets in less time
Baal 862 4 months ago Baal is an active learning library that supports both industrial applications and research usecases
brat rapid annotation tool 1,817 3 months ago Web-based text annotation tool for Named-Entity-Recogntion task
cleanlab 9,534 12 days ago Python library for data-centric AI. Can automatically: find mislabeled data, detect outliers, estimate consensus + annotator-quality for multi-annotator datasets, suggest which data is best to (re)label next
COCO Annotator 2,099 11 months ago Web-based image segmentation tool for object detection, localization and keypoints
CVAT 12,380 1 day ago CVAT (Computer Vision Annotation Tool) is OpenCV's web-based annotation tool for both videos and images for computer algorithms
Doccano 9,466 24 days ago Open source text annotation tools for humans, providing functionality for sentiment analysis, named entity recognition, and machine translation
Gretel Synthetics 581 4 days ago Gretel Synthetics is a synthetic data generators for structured and unstructured text, featuring differentially private learning
ImageTagger 265 23 days ago Image labelling tool with support for collaboration, supporting bounding box, polygon, line, point labelling, label export, etc
ImgLab 981 10 months ago Image annotation tool for bounding boxes with auto-suggestion and extensibility for plugins
Label Studio 18,536 3 days ago Multi-domain data labeling and annotation tool with standardized output format
makesense.ai 3,131 about 2 months ago Free to use online tool for labelling photos. Prepared labels can be downloaded in one of multiple supported formats
MedTagger 117 almost 2 years ago A collaborative framework for annotating medical datasets using crowdsourcing
modAL 2,205 8 months ago modAL is an active learning framework designed with modularity, flexibility and extensibility in mind
NeMo Curator 498 5 days ago NeMo Curator is a GPU-accelerated framework for efficient large language model data curation
OpenLabeling 926 over 2 years ago Open source tool for labelling images with support for labels, edges, as well as image resizing and zooming in
PixelAnnotationTool 1,400 almost 2 years ago Image annotation tool with ability to "colour" on the images to select labels for segmentation. Process is semi-automated with the
refinery 1,394 4 months ago The data scientist's open-source choice to scale, assess and maintain natural language data
Rubrix 3,866 1 day ago Open-source tool for tracking, exploring, and labeling data for AI projects
SDV 2,326 4 days ago Synthetic Data Vault (SDV) is a Synthetic Data Generation ecosystem of libraries that allows users to easily learn single-table, multi-table and timeseries datasets to later on generate new Synthetic Data that has the same format and statistical properties as the original dataset
Semantic Segmentation Editor 1,806 24 days ago Hitachi's Open source tool for labelling camera and LIDAR data
Snorkel 5,791 5 months ago Snorkel is a system for quickly generating training data with weak supervision
Superintendent 189 about 2 years ago superintendent provides an ipywidget-based interactive labelling tool for your data
YData Synthetic 1,418 15 days ago YData Synthetic is a package to generate synthetic tabular and time-series data leveraging the state of the art generative models

Main Content / Data Pipeline

Apache Airflow 36,519 11 days ago Data Pipeline framework built in Python, including scheduler, DAG definition and a UI for visualisation
Apache Nifi 4,798 11 days ago Apache NiFi was made for dataflow. It supports highly configurable directed graphs of data routing, transformation, and system mediation logic
Apache Oozie 708 3 months ago Workflow scheduler for Hadoop jobs
Argo Workflows 14,933 5 days ago Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD (Custom Resource Definition)
Azkaban 4,458 3 months ago Azkaban is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs. Azkaban resolves the ordering through job dependencies and provides an easy to use web user interface to maintain and track your workflows
BatchFlow 200 29 days ago BatchFlow helps data scientists conveniently work with random or sequential batches of your data and define data processing and machine learning workflows for large datasets
Bonobo 1,587 over 1 year ago ETL framework for Python 3.5+ with focus on simple atomic operations working concurrently on rows of data
Chronos 4,388 over 2 years ago More of a job scheduler for Mesos than ETL pipeline
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
DataTrove 1,979 9 days ago DataTrove is a library to process, filter and deduplicate text data at a very large scale
D6tflow 951 about 1 year ago A python library that allows for building complex data science workflows on Python
DALL·E Flow 2,834 over 1 year ago DALL·E Flow is an interactive workflow for generating high-definition images from text prompt
Dagster 11,237 12 days ago A data orchestrator for machine learning, analytics, and ETL
DBND 251 23 days ago DBND is an agile pipeline framework that helps data engineering teams track and orchestrate their data processes
DBT 9,724 4 days ago ETL tool for running transformations inside data warehouses
Flyte 5,619 1 day ago Lyft’s Cloud Native Machine Learning and Data Processing Platform -
Genie 1,711 19 days ago Job orchestration engine to interface and trigger the execution of jobs from Hadoop-based systems
Gokart 313 4 days ago Wrapper of the data pipeline Luigi
Hamilton 1,785 4 days ago Hamilton is a micro-orchestration framework for defining dataflows. Runs anywhere python runs (e.g. jupyter, fastAPI, spark, ray, dask). Brings software engineering best practices without you knowing it. Use it to define feature engineering transforms, end-to-end model pipelines, and LLM workflows. It complements macro-orchestration systems (e.g. kedro, luigi, airflow, dbt, etc.) as it replaces the code within those macro tasks. Comes with a self-hostable UI that captures lineage & provenance, execution telemetry & data summaries, and builds a self-populating catalog; usable in development as well as production
Instill VDP 2,094 4 days ago Instill VDP (Versatile Data Pipeline) aims to streamline the data processing pipelines from inception to completion
Instructor 7,686 8 days ago Instructor makes it easy to get structured data like JSON from LLMs like GPT-3.5, GPT-4, GPT-4-Vision, and open-source models
Kedro 9,876 12 days ago Kedro is a workflow development tool that helps you build data pipelines that are robust, scalable, deployable, reproducible and versioned
Luigi 17,746 18 days ago Luigi is a Python module that helps you build complex pipelines of batch jobs, handling dependency resolution, workflow management, visualisation, etc
Metaflow 8,084 11 days ago A framework for data scientists to easily build and manage real-life data science projects
Neuraxle 606 over 1 year ago A framework for building neat pipelines, providing the right abstractions to chain your data transformation and prediction steps with data streaming, as well as doing hyperparameter searches (AutoML)
Pachyderm 6,157 4 days ago Open source distributed processing framework build on Kubernetes focused mainly on dynamic building of production machine learning pipelines -
PipelineX 222 11 months ago Based on Kedro and MLflow. Full comparison is found
Ploomber 3,490 24 days ago The fastest way to build data pipelines. Develop iteratively, deploy anywhere
Prefect Core 15,964 10 days ago Workflow management system that makes it easy to take your data pipelines and add semantics like retries, logging, dynamic mapping, caching, failure notifications, and more
Snakemake 2,250 4 days ago Workflow management system for reproducible and scalable data analyses
Sycamore 328 8 days ago Sycamore is an open source, AI-powered document processing engine for ETL, RAG, LLM-based applications, and analytics on unstructured data
Towhee 3,183 5 days ago General-purpose machine learning pipeline for generating embedding vectors using one or many ML models
unstructured 8,723 3 days ago unstructured streamlines and optimizes the data processing workflow for LLMs, ingesting and pre-processing images and text documents, such as PDFs, HTML, Word docs, and many more
ZenML 3,985 1 day ago ZenML is an extensible, open-source MLOps framework to create reproducible ML pipelines with a focus on automated metadata tracking, caching, and many integrations to other tools

Main Content / DS Notebook

Apache Zeppelin 6,388 2 days ago Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more
H2O Flow 132 6 months ago Jupyter notebook-like interface for H2O to create, save and re-use "flows"
Jupyter Notebooks 11,624 about 1 month ago Web interface python sandbox environments for reproducible development
ML Workspace 3,405 3 months ago All-in-one web IDE for machine learning and data science. Combines Jupyter, VS Code, Tensorflow, and many other tools/libraries into one Docker image
.NET Interactive 2,880 10 days ago .NET Interactive takes the power of .NET and embeds it into your interactive experiences
Papermill 5,919 about 2 months ago Papermill is a library for parameterizing notebooks and executing them like Python scripts
Polynote 4,517 2 months ago Polynote is an experimental polyglot notebook environment. Currently, it supports Scala and Python (with or without Spark), SQL, and Vega
RMarkdown 2,870 29 days ago The rmarkdown package is a next generation implementation of R Markdown based on Pandoc
Stencila 798 11 days ago Stencila is a platform for creating, collaborating on, and sharing data driven content. Content that is transparent and reproducible
Voilà 5,413 11 days ago Voilà turns Jupyter notebooks into standalone web applications that can e.g. be used as dashboards

Main Content / Data Storage Optimisation

AIStore 1,246 4 days ago AIStore is a lightweight object storage system with the capability to linearly scale out with each added storage node and a special focus on petascale deep learning
Alluxio 6,816 about 1 month ago A virtual distributed storage system that bridges the gab between computation frameworks and storage systems
Apache Arrow 14,361 9 days ago In-memory columnar representation of data compatible with Pandas, Hadoop-based systems, etc
Apache Druid 13,443 5 days ago A high performance real-time analytics database. Check this for introduction
Apache Hudi 5,346 9 days ago Hudi is a transactional data lake platform that brings core warehouse and database functionality directly to a data lake. Hudi is great for streaming workloads, and also allows creation of efficient incremental batch pipelines. Supports popular query engines including Spark, Flink, Presto, Trino, Hive, etc. More info
Apache Iceberg 6,241 9 days ago Iceberg is an ACID-compliant, high-performance format built for huge analytic tables (containing tens of petabytes of data), and it brings the reliability and simplicity of SQL tables to big data, while making it possible for engines like Spark, Trino, Flink, Presto, Hive and Impala to safely work with the same tables, at the same time. More info
Apache Ignite 4,776 10 days ago A memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale -
Apache Parquet 2,575 10 days ago On-disk columnar representation of data compatible with Pandas, Hadoop-based systems, etc
Apache Pinot 5,429 about 17 hours ago A realtime distributed OLAP datastore. Comparison of the open source OLAP systems for big data: ClickHouse, Druid, and Pinot is found
BayesDB 922 11 months ago A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself. -
Chroma 14,828 4 days ago BayesDB is an AI-native embedding database
ClickHouse 37,031 4 days ago ClickHouse is an open source column oriented database management system
Delta Lake 7,487 10 days ago Delta Lake is a storage layer that brings scalable, ACID transactions to Apache Spark and other big-data engines
EdgeDB 12,986 4 days ago NoSQL interface for Postgres that allows for object interaction to data stored
GPTCache 7,157 25 days ago GPTCache is a library for creating semantic cache for large language model queries
HopsFS 305 16 days ago HDFS-compatible file system with scale-out strongly consistent metadata
InfluxDB 28,713 10 days ago Scalable datastore for metrics, events, and real-time analytics
Milvus 29,730 12 days ago Milvus is a cloud-native, open-source vector database built to manage embedding vectors generated by machine learning models and neural networks
Marqo 4,530 3 days ago Marqo is an end-to-end vector search engine
pgvector 12,046 3 days ago pgvector helps with vector similarity search for Postgres
PostgresML 5,964 4 days ago PostgresML is a machine learning extension for PostgreSQL that enables you to perform training and inference on text and tabular data using SQL queries
Safetensors 2,792 about 1 month ago Simple, safe way to store and distribute tensors
TimescaleDB 17,641 3 days ago An open-source time-series SQL database optimized for fast ingest and complex queries packaged as a PostgreSQL extension -
Weaviate 11,045 4 days ago A low-latency vector search engine (GraphQL, RESTful) with out-of-the-box support for different media types. Modules include Semantic Search, Q&A, Classification, Customizable Models (PyTorch/TensorFlow/Keras), and more
Zarr 1,483 3 days ago Python implementation of chunked, compressed, N-dimensional arrays designed for use in parallel computing

Main Content / Data Stream Processing

Apache Flink 23,889 8 days ago Open source stream processing framework with powerful stream and batch processing capabilities
Apache Kafka 28,494 10 days ago Kafka client library for buliding applications and microservices where the input and output are stored in kafka clusters
Apache Samza 812 11 days ago Distributed stream processing framework. It uses Apache Kafka for messaging, and Apache Hadoop YARN to provide fault tolerance, processor isolation, security, and resource management
Apache Spark 39,387 12 days ago Micro-batch processing for streams using the apache spark framework as a backend supporting stateful exactly-once semantics
Brooklin 916 5 months ago Distributed stream processing framework. It uses Apache Kafka for messaging, and Apache Hadoop YARN to provide fault tolerance, processor isolation, security, and resource management
Bytewax 1,500 11 days ago Flexible Python-centric stateful stream processing framework built on top of Rust engine
FastStream 2,499 11 days ago A modern broker-agnostic streaming Python framework supporting Apache Kafka, RabbitMQ and NATS protocols, inspired by FastAPI and easily integratable with other web frameworks
Faust 6,726 3 months ago Streaming library built on top of Python's Asyncio library using the async kafka client inspired by the kafka streaming library
TensorStore 1,337 4 days ago Library for reading and writing large multi-dimensional arrays
RobustBench 656 about 2 months ago another robustness resource maintained by some of the leading names in adversarial ML. They specifically focus on defenses, and onesa standardized adversarial robustness benchmark

Main Content / Deployment and Serving

AirLLM 4,496 17 days ago AirLLM optimizes inference memory usage, allowing 70B large language models to run inference on a single 4GB GPU card without quantization, distillation and pruning
Apache PredictionIO 12,547 almost 4 years ago An open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task
Backprop 242 over 3 years ago Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models
BentoML 7,036 12 days ago BentoML is an open source framework for high performance ML model serving
Cortex 8,020 4 months ago Cortex is an open source platform for deploying machine learning models—trained with any framework—as production web services. No DevOps required
DeepDetect 2,516 17 days ago Machine Learning production server for TensorFlow, XGBoost and Cafe models written in C++ and maintained by Jolibrain
DeepSparse 2,991 3 months ago DeepSparse is a sparsity-aware deep learning inference runtime for CPUs
exo 9,924 5 days ago exo helps you run your AI cluster at home with everyday devices
Hydrosphere Serving 271 about 1 month ago Hydrosphere Serving is a cluster for deploying and versioning your machine learning models in production
Intel® Extension for Transformers 2,123 4 days ago An Innovative Transformer-based Toolkit to Accelerate GenAI/LLM Everywhere
Inference 1,303 5 days ago A fast, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models. With Inference, you can deploy models such as YOLOv5, YOLOv8, CLIP, SAM, and CogVLM on your own hardware using Docker
Infinity 1,321 4 days ago Infinity is a high-throughput, low-latency REST API for serving text-embeddings, reranking models and clip
IPEX-LLM 6,552 13 days ago IPEX-LLM is a PyTorch library for running LLM on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max) with very low latency
Jina 21,003 11 days ago Jina builds multimodal AI services and pipelines that communicate via gRPC, HTTP, and WebSockets, then scales them up and deploys to production
KsanaLLM 264 23 days ago KsanaLLM is a high performance and easy-to-use engine for LLM inference and serving
KServe 3,520 1 day ago KServe provides a Kubernetes Custom Resource Definition for serving predictive and generative ML
KTransformers 685 24 days ago KTransformers is a flexible framework for experiencing cutting-edge LLM inference optimizations
Lepton AI 2,633 5 days ago LeptonAI Python library allows you to build an AI service from Python code with ease
LightLLM 2,488 3 days ago LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance
LocalAI 23,807 3 days ago LocalAI is a drop-in replacement REST API that's compatible with OpenAI API specifications for local inferencing
m2cgen 2,800 2 months ago A lightweight library which allows to transpile trained classic machine learning models into a native code of C, Java, Go, R, PHP, Dart, Haskell, Rust and many other programming languages
MindsDB 26,362 10 days ago MindsDB is the platform to create, serve, and fine-tune models in real-time from your database, vector store, and application data
MLRun 1,427 3 days ago MLRun is an open MLOps framework for quickly building and managing continuous ML and generative AI applications across their lifecycle
MLServer 698 5 days ago An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
Mosec 749 7 days ago A rust-powered and multi-stage pipelined model server which offers dynamic batching and more. Super easy to implement and deploy as micro-services
Nuclio 5,288 11 days ago A high-performance "serverless" framework focused on data, I/O, and compute-intensive workloads. It is well integrated with popular data science tools, such as Jupyter and Kubeflow; supports a variety of data and streaming sources; and supports execution over CPUs and GPUs
OpenDiT 1,687 9 days ago OpenDiT is an open-source project that provides a high-performance implementation of Diffusion Transformer(DiT), specifically designed to enhance the efficiency of training and inference for DiT applications, including text-to-video generation and text-to-image generation
OpenLLM 9,834 5 days ago OpenLLM allows developers to run any open-source LLMs (Llama 3.1, Qwen2, Phi3 and more) or custom models as OpenAI-compatible APIs with a single command
OpenScoring 580 about 1 month ago REST web service for the true real-time scoring (< 1 ms) of Scikit-Learn, R and Apache Spark models
OpenVINO 7,032 3 days ago OpenVINO is an open-source toolkit for optimizing and deploying AI inference
PowerInfer 7,910 about 1 month ago PowerInfer is a CPU/GPU LLM inference engine leveraging activation locality for your device
Prompt2Model 1,947 5 months ago Prompt2Model is a system that takes a natural language task description (like the prompts used for LLMs such as ChatGPT) to train a small special-purpose model that is conducive for deployment
Redis-AI 822 6 months ago A Redis module for serving tensors and executing deep learning models. Expect changes in the API and internals
Seldon Core 4,350 12 days ago Open source platform for deploying and monitoring machine learning models in Kubernetes -
SkyPilot 6,641 3 days ago SkyPilot is a framework for running LLMs, AI, and batch jobs on any cloud, offering maximum cost savings, highest GPU availability, and managed execution
skops 444 6 days ago skops is a Python library helping you share your scikit-learn based models and put them in production
SparseML 2,049 2 months ago SparseML is an open-source model optimization toolkit that enables you to create inference-optimized sparse models using pruning, quantization, and distillation algorithms
S-LoRA 1,728 9 months ago Serving Thousands of Concurrent LoRA Adapters
Tempo 114 over 2 years ago Open source SDK that provides a unified interface to multiple MLOps projects that enable data scientists to deploy and productionise machine learning systems
Tensorflow Serving 6,168 3 days ago High-performant framework to serve Tensorflow models via grpc protocol able to handle 100k requests per second per core
text-generation-inference 8,881 3 days ago Large Language Model Text Generation Inference
TorchServe 4,177 5 days ago TorchServe is a flexible and easy to use tool for serving PyTorch models
Triton Inference Server 8,165 1 day ago Triton is a high performance open source serving software to deploy AI models from any framework on GPU & CPU while maximizing utilization
UnionML 337 11 months ago UnionML is an open source MLOps framework that aims to reduce the boilerplate and friction that comes with building models and deploying them to production
Vercel AI 9,664 1 day ago Vercel AI is a TypeScript toolkit designed to help you build AI-powered applications using popular frameworks like Next.js, React, Svelte, Vue and runtimes like Node.js
vLLM 27,807 8 days ago vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs

Main Content / Evaluation and Observability

AlpacaEval 1,466 16 days ago AlpacaEval is an automatic evaluator for instruction-following language models
ARES 452 2 months ago ARES is a framework for automatically evaluating Retrieval-Augmented Generation (RAG) models
AutoML Benchmark 399 6 days ago AutoML Benchmark is a framework for evaluating and comparing open-source AutoML systems
Banana-lyzer 247 9 days ago Banana-lyzer is an open-source AI Agent evaluation framework and dataset for web tasks with Playwright
Code Generation LM Evaluation Harness 783 16 days ago Code Generation LM Evaluation Harness is a framework for the evaluation of code generation models
continuous-eval 441 about 1 month ago continuous-eval is a framework for data-driven evaluation of LLM-powered applications
Deepchecks 3,578 17 days ago Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling you to test your data and models from research to production thoroughly
DeepEval 3,175 5 days ago DeepEval is a simple-to-use, open-source evaluation framework for LLM applications
EvalAI 1,756 about 1 month ago EvalAI is an open-source platform for evaluating and comparing AI algorithms at scale
Evals 14,789 12 days ago Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks
EvalScope 181 3 days ago EvalScope is a streamlined and customizable framework for efficient large model evaluation and performance benchmarking
Evaluate 1,988 26 days ago Evaluate is a library that makes evaluating and comparing models and reporting their performance easier and more standardized
Evalverse 211 3 months ago Evalverse is a framework to effortlessly evaluate and report LLMs with no-code requests and comprehensive reports
Evidently 5,193 11 days ago Evidently is an open-source framework to evaluate, test and monitor ML and LLM-powered systems
FlagEval 295 3 months ago FlagEval is an open-source evaluation toolkit as well as an open platform for evaluation of large models
FMBench 182 9 days ago FMBench is a tool for running performance benchmarks for any Foundation Model (FM) deployed on any AWS Generative AI service, be it Amazon SageMaker, Amazon Bedrock, Amazon EKS, or Amazon EC2
Giskard 3,984 4 days ago Giskard is an evaluation & testing framework for LLMs & ML models
HarmBench 291 about 2 months ago HarmBench is a fast and scalable framework for evaluating automated red teaming methods and LLM attacks/defenses
Helicone 1,783 4 days ago Helicone is an observability platform for LLMs
HELM 1,891 4 days ago HELM (Holistic Evaluation of Language Models) provides tools for the holistic evaluation of language models, including standardized datasets, a unified API for various models, diverse metrics, robustness, and fairness perturbations, a prompt construction framework, and a proxy server for unified model access
Inspect 577 3 days ago Inspect is a framework for large language model evaluations
InterCode 186 5 months ago InterCode is a lightweight, flexible, and easy-to-use framework for designing interactive code environments to evaluate language agents that can code
Langfuse 5,878 4 days ago Langfuse is an observability & analytics solution for LLM-based applications
LangTest 496 3 days ago LangTest is a comprehensive evaluation toolkit for NLP models
Language Model Evaluation Harness 6,596 9 days ago Language Model Evaluation Harness is a framework to test generative language models on a large number of different evaluation tasks
LightEval 706 4 days ago LightEval is a lightweight LLM evaluation suite
LLMonitor 1,045 3 days ago LLMonitor is an observability & analytics for AI apps and agents
LLMPerf 597 about 2 months ago LLMPerf is a tool for evaluating the performance of LLM APIs
LLM AutoEval 530 5 months ago LLM AutoEval simplifies the process of evaluating LLMs using a convenient Colab notebook
lmms-eval 1,420 3 days ago lmms-eval is an evaluation framework meticulously crafted for consistent and efficient evaluation of LMM
MLPerf Inference 1,204 4 days ago MLPerf Inference is a benchmark suite for measuring how fast systems can run models in a variety of deployment scenarios
mltrace 466 almost 2 years ago mltrace is a lightweight, open-source Python tool to get "bolt-on" observability in ML pipelines
MTEB 1,852 5 days ago Massive Text Embedding Benchmark (MTEB) is a comprehensive benchmark of text embeddings
NannyML 1,903 12 days ago NannyML is a library that allows you to estimate post-deployment model performance (without access to targets), detect data drift, and intelligently link data drift alerts back to changes in model performance
OLMo-Eval 294 4 months ago OLMo-Eval is an evaluation suite for evaluating open language models
OpenCompass 3,851 3 days ago OpenCompass is an LLM evaluation platform, supporting a wide range of models (LLaMA, LLaMa2, ChatGLM2, ChatGPT, Claude, etc) over 50+ datasets
Opik 1,480 11 days ago Opik is an open-source platform for evaluating, testing and monitoring LLM applications
Optimum-Benchmark 240 4 days ago A unified multi-backend utility for benchmarking Transformers and Diffusers with support for Optimum's arsenal of hardware optimizations/quantization schemes
PhaseLLM 448 3 months ago PhaseLLM is a large language model evaluation and workflow framework
Phoenix 3,548 9 days ago Phoenix is an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting
PromptBench 2,407 about 1 month ago PromptBench is a unified evaluation framework for large language models
Prometheus-Eval 767 about 1 month ago Prometheus-Eval is a collection of tools for training, evaluating, and using language models specialized in evaluating other language models
Ragas 6,824 4 days ago Ragas is a framework to evaluate RAG pipelines
RAGChecker RAGChecker is an advanced automatic evaluation framework designed to assess and diagnose Retrieval-Augmented Generation (RAG) systems
Rageval 119 6 days ago Rageval is a tool to evaluate RAG system
RefChecker 281 17 days ago RefChecker provides a standardized assessment framework to identify subtle hallucinations present in the outputs of large language models (LLMs)
RewardBench 372 11 days ago RewardBench is a benchmark designed to evaluate the capabilities and safety of reward models
TensorFlow Model Analysis 1,256 11 days ago TensorFlow Model Analysis (TFMA) is a library for evaluating TensorFlow models on large amounts of data in a distributed manner, using the same metrics defined in their trainer
Tonic Validate 253 26 days ago Tonic Validate is a high-performance evaluation framework for LLM/RAG outputs
TruLens 2,085 3 days ago TruLens provides a set of tools for evaluating and tracking LLM experiments
TrustLLM 442 14 days ago TrustLLM is a comprehensive framework to evaluate the trustworthiness of large language models, which includes principles, surveys, and benchmarks
UpTrain 2,185 about 2 months ago UpTrain is an open-source tool for evaluating LLM applications
VBench 509 3 days ago VBench is a comprehensive benchmark suite for video generative models
VLMEvalKit 1,123 3 days ago VLMEvalKit is an open-source evaluation toolkit of large vision-language models (LVLMs)

Main Content / Explainability and Fairness

Aequitas 682 about 1 month ago An open-source bias audit toolkit for data scientists, machine learning researchers, and policymakers to audit machine learning models for discrimination and bias, and to make informed and equitable decisions around developing and deploying predictive risk-assessment tools
AI Explainability 360 1,619 3 months ago Interpretability and explainability of data and machine learning models including a comprehensive set of algorithms that cover different dimensions of explanations along with proxy explainability metrics
AI Fairness 360 2,420 3 months ago A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models
Alibi 2,391 3 months ago Alibi is an open source Python library aimed at machine learning model inspection and interpretation. The initial focus on the library is on black-box, instance based model explanations
anchor 795 about 2 years ago Code for the paper , a model-agnostic system that explains the behaviour of complex models with high-precision rules called anchors
captum 4,855 16 days ago model interpretability and understanding library for PyTorch developed by Facebook. It contains general purpose implementations of integrated gradients, saliency maps, smoothgrad, vargrad and others for PyTorch models
DeepLIFT 819 over 2 years ago Codebase that contains the methods in the paper . Here is the and the of the 15 minute talk given at ICML
DeepVis Toolbox 4,011 over 4 years ago This is the code required to run the Deep Visualization Toolbox, as well as to generate the neuron-by-neuron visualizations using regularized optimisation. The toolbox and methods are described casually and more formally in this
ELI5 2,753 over 2 years ago "Explain Like I'm 5" is a Python package which helps to debug machine learning classifiers and explain their predictions
FACETS 7,352 over 1 year ago Facets contains two robust visualizations to aid in understanding and analyzing machine learning datasets. Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive
Fairlearn 1,923 18 days ago Fairlearn is a python toolkit to assess and mitigate unfairness in machine learning models
FairML 359 over 3 years ago FairML is a python toolbox auditing the machine learning models for bias
Fairness Comparison 159 almost 2 years ago This repository is meant to facilitate the benchmarking of fairness aware machine learning algorithms based on
Fairness Indicators 341 about 1 month ago The tool supports teams in evaluating, improving, and comparing models for fairness concerns in partnership with the broader Tensorflow toolkit
iNNvestigate 1,256 10 months ago An open-source library for analyzing Keras models visually by methods such as , , , and
Integrated-Gradients 595 over 2 years ago This repository provides code for implementing integrated gradients for networks with image inputs
InterpretML 6,237 12 days ago InterpretML is an open-source package for training interpretable models and explaining blackbox systems
keras-vis 2,979 over 2 years ago keras-vis is a high-level toolkit for visualizing and debugging your trained keras neural net models. Currently supported visualizations include: Activation maximization, Saliency maps, Class activation maps
Lightly 3,097 3 days ago A python framework for self-supervised learning on images. The learned representations can be used to analyze the distribution in unlabeled data and rebalance datasets
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 an objective to build predictive models with one line of code
LIME 11,552 3 months ago Local Interpretable Model-agnostic Explanations for machine learning models
LOFO Importance 816 9 months ago LOFO (Leave One Feature Out) Importance calculates the importances of a set of features based on a metric of choice, for a model of choice, by iteratively removing each feature from the set, and evaluating the performance of the model, with a validation scheme of choice, based on the chosen metric
mljar-supervised 3,023 3 days ago A Python package for AutoML on tabular data with feature engineering, hyper-parameters tuning, explanations and automatic documentation
SHAP 22,601 11 days ago SHapley Additive exPlanations is a unified approach to explain the output of any machine learning model
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
themis-ml 124 almost 4 years ago themis-ml is a Python library built on top of pandas and sklearn that implements fairness-aware machine learning algorithms
Themis 101 about 4 years ago Themis is a testing-based approach for measuring discrimination in a software system
Transformer Debugger 4,020 4 months ago Transformer Debugger (TDB) is a tool developed by OpenAI's Superalignment team with the goal of supporting investigations into specific behaviors of small language models
TreeInterpreter 744 about 1 year ago Package for interpreting scikit-learn's decision tree and random forest predictions. Allows decomposing each prediction into bias and feature contribution components as described
WhatIf 907 about 1 month ago An easy-to-use interface for expanding understanding of a black-box classification or regression ML model
woe 256 almost 5 years ago Tools for WoE Transformation mostly used in ScoreCard Model for credit rating

Main Content / Feature Store

Butterfree 281 4 days ago A tool for building feature stores which allows you to transform your raw data into beautiful features
FEAST 5,514 13 days ago Feast (Feature Store) is an open source feature store for machine learning. Feast is the fastest path to manage existing infrastructure to productionize analytic data for model training and online inference
Feathr 1,978 6 months ago A scalable, unified data and AI engineering platform for enterprise
Featureform 1,804 26 days ago A virtual featurestore. Plug-&-play with your existing infra. Data Scientist approved. Discovery, Governance, Lineage, & Collaboration just a pip install away. Supports pandas, Python, spark, SQL + integrations with major cloud vendors
Hopsworks Feature Store 1,146 12 days ago Offline/Online Feature Store for ML

Main Content / Industry-strength AD

adtk 1,082 2 months ago A Python toolkit for rule-based/unsupervised anomaly detection in time series
Alibi Detect 2,216 2 months ago alibi-detect is a Python package focused on outlier, adversarial and concept drift detection
Darts 7,954 14 days ago Darts is a library for user-friendly forecasting and anomaly detection on time series
Deequ 3,269 11 days ago A library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets
Deep Anomaly Detection with Outlier Exposure 544 about 3 years ago Outlier Exposure (OE) is a method for improving anomaly detection performance in deep learning models
PyOD 8,491 about 1 month ago A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
SUOD 377 8 months ago SUOD (Scalable Unsupervised Outlier Detection) is an acceleration system for large-scale anomaly/outlier detection
TextAttack 2,923 3 months ago TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP
TFDV 758 11 days ago TFDV (Tensorflow Data Validation) is a library for exploring and validating machine learning data
TODS 1,420 about 1 year ago TODS is a full-stack automated machine learning system for outlier detection on multivariate time-series data

Main Content / Industry Strength CV

Deep Lake 8,072 15 days ago Deep Lake is a data infrastructure optimized for computer vision
Detectron2 30,140 about 1 month ago Detectron2 is Facebook AI Research's next generation library that provides state-of-the-art detection and segmentation algorithms
iGibson 648 4 months ago iGibson is a simulation environment providing fast visual rendering and physics simulation based on Bullet
JDiffusion 250 3 months ago JDiffusion is a diffusion model library for generating images or videos based on Diffusers and Jittor
KerasCV 1,004 4 days ago KerasCV is a library of modular computer vision oriented Keras components
LAVIS 9,717 about 2 months ago LAVIS is a deep learning library for LAnguage-and-VISion intelligence research and applications
MMDetection 29,227 about 2 months ago MMDetection is an open source object detection toolbox based on PyTorch
SCEPTER 390 11 days ago SCEPTER is an open-source code repository dedicated to generative training, fine-tuning, and inference, encompassing a suite of downstream tasks such as image generation, transfer, editing
SuperGradients 4,539 25 days ago SuperGradients is an open-source library for training PyTorch-based computer vision models
supervision 22,962 6 days ago Supervision is a Python library designed for efficient computer vision pipeline management, providing tools for annotation, visualization, and monitoring of models
VideoSys 1,687 9 days ago VideoSys supports many diffusion models with our various acceleration techniques, enabling these models to run faster and consume less memory
VISSL 3,253 7 months ago VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images

Main Content / Industry Strength NLP

Blackstone 635 3 months ago Blackstone is a spaCy model and library for processing long-form, unstructured legal text. Blackstone is an experimental research project from the Incorporated Council of Law Reporting for England and Wales' research lab, ICLR&D
BERTopic 6,049 3 days ago BERTopic is a topic modeling technique that leverages transformers and c-TF-IDF to create dense clusters allowing for easily interpretable topics whilst keeping important words in the topic descriptions
Coqui STT 2,247 7 months ago Coqui STT is a fast, open-source, multi-platform, deep-learning toolkit for training and deploying speech-to-text models
CodeTF 1,453 5 months ago CodeTF is a one-stop Python transformer-based library for code large language models (Code LLMs) and code intelligence, provides a seamless interface for training and inferencing on code intelligence tasks like code summarization, translation, code generation and so on
CTRL 1,866 almost 3 years ago A Conditional Transformer Language Model for Controllable Generation released by SalesForce
dspy 17,608 4 days ago A framework for programming with foundation models
Dust 944 4 days ago Dust assists in the design and deployment of large language model apps
ESPnet 8,360 5 days ago ESPnet is an end-to-end speech processing toolkit
Facebook's XLM 2,878 over 1 year ago PyTorch original implementation of Cross-lingual Language Model Pretraining which includes BERT, XLM, NMT, XNLI, PKM, etc
FastChat 36,611 7 days ago FastChat is an open platform for training, serving, and evaluating large language model based chatbots
Flair 13,852 14 days ago Simple framework for state-of-the-art NLP developed by Zalando which builds directly on PyTorch
FlexGen 9,156 4 days ago FlexGen is a high-throughput generation engine for running large language models with limited GPU memory
Gensim 15,591 about 1 month ago Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora
GluonNLP 2,555 about 1 year ago GluonNLP is a toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your Natural Language Processing (NLP) research
Grover 915 over 1 year ago Grover is a model for Neural Fake News -- both generation and detection. However, it probably can also be used for other generation tasks
h2oGPT 11,307 3 days ago h2oGPT is an open source generative AI, gives organizations like yours the power to own large language models while preserving your data ownership
Haystack 17,024 4 days ago Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-3 and alike). Haystack offers production-ready tools to quickly build ChatGPT-like question answering, semantic search, text generation, and more
Interactive Composition Explorer 533 5 days ago ICE is a Python library and trace visualizer for language model programs
Kashgari 2,389 about 1 month ago Kashgari is a simple and powerful NLP Transfer learning framework, build a state-of-art model in 5 minutes for named entity recognition (NER), part-of-speech tagging (PoS), and text classification tasks
Lamini 2,508 18 days ago Lamini is an LLM engine for rapidly customizing models
LangChain 93,047 9 days ago LangChain assists in building applications with LLMs through composability
LlamaIndex 35,942 4 days ago LlamaIndex (GPT Index) is a data framework for your LLM application
LLaMA 55,956 about 2 months ago LLaMA is intended as a minimal, hackable and readable example to load LLaMA (arXiv) models and run inference
LLaMA2-Accessory 2,696 5 months ago LLaMA2-Accessory is an open-source toolkit for pretraining, finetuning and deployment of Large Language Models (LLMs) and multimodal LLMs
LMFlow 8,234 7 days ago LMFlow is an extensible, convenient, and efficient toolbox for finetuning large machine learning models
Megatron-LM 10,169 8 days ago Megatron-LM is a highly optimized and efficient library for training large language models
MLC LLM 18,835 4 days ago MLC LLM is a universal solution that allows any language models to be deployed natively on a diverse set of hardware backends and native applications, plus a productive framework for everyone to further optimize model performance for their own use cases
Ollama 91,834 10 days ago Get up and running with large language models, locally
PaddleNLP 12,012 4 days ago PaddleNLP is a Large Language Model (LLM) development suite based on the PaddlePaddle deep learning framework, supporting efficient large model training, lossless compression, and high-performance inference on various hardware devices
Semantic Kernel 21,573 3 days ago Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of code
sense2vec 1,617 7 months ago A Pytorch library that allows for training and using sense2vec models, which are models that leverage the same approach than word2vec, but also leverage part-of-speech attributes for each token, which allows it to be "meaning-aware"
Sentence Transformers 14,997 4 days ago Sentence Transformers provides an easy method to compute dense vector representations for sentences, paragraphs, and images
SpaCy 29,804 11 days ago spaCy is a library for advanced Natural Language Processing in Python and Cython
SWIFT 3,779 1 day ago SWIFT is a scalable lightweight infrastructure for deep learning model fine-tuning
Tensorflow Lingvo 2,811 4 days ago A for building neural networks in Tensorflow, particularly sequence models
Tensorflow Text 1,220 12 days ago TensorFlow Text provides a collection of text related classes and ops ready to use with TensorFlow 2.0
Transformers 133,213 1 day ago Huggingface's library of state-of-the-art pretrained models for Natural Language Processing (NLP)
trlX 4,468 9 months ago trlX is a distributed training framework designed from the ground up to focus on fine-tuning large language models with reinforcement learning using either a provided reward function or a reward-labeled dataset

Main Content / Industry Strength RecSys

EasyRec 1,736 15 days ago EasyRec is a framework for large scale recommendation algorithms
Gorse 8,493 2 months ago Gorse aims to be a universal open-source recommender system that can be quickly introduced into a wide variety of online services
Implicit 3,532 3 months ago Implicit provides fast Python implementations of several different popular recommendation algorithms for implicit feedback datasets
LightFM 4,735 3 months ago LightFM is a Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback
NVTabular 1,043 about 1 month ago NVTabular is a feature engineering and preprocessing library for tabular data that is designed to easily manipulate terabyte scale datasets and train deep learning (DL) based recommender systems
Merlin 759 3 months ago NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production
OmniSafe 916 about 1 month ago OmniSafe is a comprehensive and reliable benchmark for safe reinforcement learning, covering a multitude of SafeRL domains and delivering a new suite of testing environments
Recommenders 18,904 6 days ago Recommenders contains benchmark and best practices for building recommendation systems, provided as Jupyter notebooks
Surprise 6,372 4 months ago Surprise is a Python scikit for building and analyzing recommender systems that deal with explicit rating data
YouTokenToMe 954 7 months ago YouTokenToMe is an unsupervised text tokenizer focused on computational efficiency. It currently implements fast (BPE)

Main Content / Industry Strength RL

Acme 3,480 25 days ago Acme is a library of reinforcement learning (RL) building blocks that strives to expose simple, efficient, and readable agents
AI-Optimizer 4,640 over 1 year ago AI-Optimizer is a next-generation deep reinforcement learning suit, providing rich algorithm libraries ranging from model-free to model-based RL algorithms, from single-agent to multi-agent algorithms. Moreover, AI-Optimizer contains a flexible and easy-to-use distributed training framework for efficient policy training
ALF 298 10 days ago ALF is a reinforcement learning framework emphasizing on the flexibility and easiness of implementing complex algorithms involving many different components
AlpacaFarm 767 3 months ago AlpacaFarm is a simulation framework for methods that learn from human feedback
CityLearn 469 5 days ago CityLearn is an open source OpenAI Gym environment for the implementation of Multi-Agent Reinforcement Learning (RL) for building energy coordination and demand response in cities
CleanRL 5,400 18 days ago CleanRL is a Deep Reinforcement Learning library that provides high-quality single-file implementation with research-friendly features. The implementation is clean and simple, yet we can scale it to run thousands of experiments using AWS Batch
CompilerGym 907 4 months ago CompilerGym is a library of easy to use and performant reinforcement learning environments for compiler tasks
d3rlpy 1,296 14 days ago d3rlpy is an offline deep reinforcement learning library for practitioners and researchers
D4RL 1,307 8 months ago D4RL is an open-source benchmark for offline reinforcement learning
DIAMBRA 315 4 months ago DIAMBRA Arena is a software package featuring a collection of high-quality environments for Reinforcement Learning research and experimentation
Dopamine 10,520 5 months ago Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. It aims to fill the need for a small, easily grokked codebase in which users can freely experiment with wild ideas (speculative research)
EvoTorch 1,002 5 days ago EvoTorch is an open source evolutionary computation library developed at NNAISENSE, built on top of PyTorch
FinRL 9,709 15 days ago FinRL is the first open-source framework to demonstrate the great potential of financial reinforcement learning
garage 1,862 over 1 year ago garage is a toolkit for developing and evaluating reinforcement learning algorithms, and an accompanying library of state-of-the-art implementations built using that toolkit
Gymnasium 6,986 4 days ago Gymnasium is an open source Python library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API
Gymnasium-Robotics 533 4 days ago Gymnasium-Robotics contains a collection of Reinforcement Learning robotic environments that use the Gymansium API. The environments run with the MuJoCo physics engine and the maintained mujoco python bindings
Jumanji 593 3 months ago Jumanji is a suite of Reinforcement Learning (RL) environments written in JAX providing clean, hardware-accelerated environments for industry-driven research
MALib 494 10 months ago MALib is a parallel framework of population-based learning nested with reinforcement learning methods. MALib provides higher-level abstractions of MARL training paradigms, which enables efficient code reuse and flexible deployments on different distributed computing paradigms
MARLlib 892 5 months ago MARLlib is a comprehensive Multi-Agent Reinforcement Learning algorithm library based on RLlib. It provides MARL research community with a unified platform for building, training, and evaluating MARL algorithms
Mava 712 3 days ago Mava is a framework for distributed multi-agent reinforcement learning in JAX
Melting Pot 594 11 days ago Melting Pot is a suite of test scenarios for multi-agent reinforcement learning
MetaDrive 751 8 days ago MetaDrive is a driving simulator that composes diverse driving scenarios for generalizable RL
Minigrid 2,096 6 days ago The Minigrid library contains a collection of discrete grid-world environments to conduct research on Reinforcement Learning. The environments follow the Gymnasium standard API and they are designed to be lightweight, fast, and easily customizable
MiniHack 474 about 2 months ago MiniHack is a sandbox framework for easily designing rich and diverse environments for Reinforcement Learning
MiniWorld 696 about 1 month ago MiniWorld is a minimalistic 3D interior environment simulator for reinforcement learning & robotics research
ML-Agents 16,981 12 days ago ML-Agents is an open-source project that enables games and simulations to serve as environments for training intelligent agents
MushroomRL 813 about 1 month ago MushroomRL is a Python Reinforcement Learning (RL) library whose modularity allows to easily use well-known Python libraries for tensor computation (e.g. PyTorch, Tensorflow) and RL benchmarks (e.g. OpenAI Gym, PyBullet, Deepmind Control Suite)
Overcooked-AI 693 about 2 months ago Overcooked-AI is a benchmark environment for fully cooperative human-AI task performance, based on the wildly popular video game Overcooked
PARL 3,255 2 months ago PARL is a flexible and high-efficient reinforcement learning framework
PettingZoo 2,580 about 1 month ago PettingZoo is a Python library for conducting research in multi-agent reinforcement learning, akin to a multi-agent version of Gymnasium
RLeXplore 353 13 days ago RLeXplore provides stable baselines of exploration methods in reinforcement learning
RLMeta 284 over 1 year ago RLMeta is a flexible lightweight research framework for Distributed Reinforcement Learning based on PyTorch and moolib
Safety-Gymnasium 383 5 months ago Safety-Gymnasium is a highly scalable and customizable safe reinforcement learning environment library
skrl 518 10 days ago skrl is an open-source modular library for Reinforcement Learning written in Python (using PyTorch) and designed with a focus on readability, simplicity, and transparency of algorithm implementation
Stable Baselines 8,836 24 days ago A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
SuperSuit 451 about 1 month ago SuperSuit introduces a collection of small functions which can wrap reinforcement learning environments to do preprocessing ('microwrappers')
TF-Agents 2,780 12 days ago A reliable, scalable and easy to use TensorFlow library for contextual bandits and reinforcement learning
TRL 9,653 3 days ago Train transformer language models with reinforcement learning

Main Content / Industry Strength Visualisation

Apache ECharts 60,265 12 days ago Apache ECharts is a powerful, interactive charting and data visualization library for browser
Apache Superset 62,043 10 days ago A modern, enterprise-ready business intelligence web application
Bokeh 19,272 10 days ago Bokeh is an interactive visualization library for Python that enables beautiful and meaningful visual presentation of data in modern web browsers
Geoplotlib 1,026 over 2 years ago geoplotlib is a python toolbox for visualizing geographical data and making maps
ggplot2 6,486 5 days ago An implementation of the grammar of graphics for R
gradio 32,605 3 days ago Quickly create and share demos of models - by only writing Python. Debug models interactively in your browser, get feedback from collaborators, and generate public links without deploying anything
Kangas 1,040 5 days ago Kangas is a tool for exploring, analyzing, and visualizing large-scale multimedia data. It provides a straightforward Python API for logging large tables of data, along with an intuitive visual interface for performing complex queries against your dataset
matplotlib 20,048 13 days ago A Python 2D plotting library which produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms
Missingno 3,913 5 months ago missingno provides a small toolset of flexible and easy-to-use missing data visualizations and utilities that allows you to get a quick visual summary of the completeness (or lack thereof) of your dataset
Netron 27,736 11 days ago Netron is a viewer for neural network, deep learning and machine learning models
PDPBox 841 about 1 month ago This repository is inspired by ICEbox. The goal is to visualize the impact of certain features towards model prediction for any supervised learning algorithm
Perspective 8,401 5 days ago Streaming pivot visualization via WebAssembly
Pixiedust 1,038 over 3 years ago PixieDust is a productivity tool for Python or Scala notebooks, which lets a developer encapsulate business logic into something easy for your customers to consume
Plotly 16,095 5 days ago An interactive, open source, and browser-based graphing library for Python
PyCEbox 164 over 4 years ago Python Individual Conditional Expectation Plot Toolbox
pygal 2,642 2 months ago pygal is a dynamic SVG charting library written in Python
Redash 26,051 23 days ago Redash is anopen source visualisation framework that is built to allow easy access to big datasets leveraging multiple backends
seaborn 12,442 about 2 months ago Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics
Spotlight 1,109 2 months ago Spotlight helps you to identify critical data segments and model failure modes. It enables you to build and maintain reliable machine learning models by curating high-quality datasets
Streamlit 34,890 10 days ago Streamlit lets you create apps for your machine learning projects with deceptively simple Python scripts. It supports hot-reloading, so your app updates live as you edit and save your file
tensorboardX 7,863 about 1 month ago Write TensorBoard events with simple function call
TensorBoard 6,687 5 days ago TensorBoard is a visualization toolkit for machine learning experimentation that makes it easy to host, track, and share ML experiments
Transformer Explainer 2,719 12 days ago Transformer Explainer is an interactive visualization tool designed to help anyone learn how Transformer-based models like GPT work
Vega-Altair 9,254 11 days ago Vega-Altair is a declarative statistical visualization library for Python
ydata-profiling 12,447 7 days ago ydata-profiling provides a one-line Exploratory Data Analysis (EDA) experience in a consistent and fast solution

Main Content / Metadata Management

Amundsen 4,404 9 days ago Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data
Apache Atlas 1,821 16 days ago Apache Atlas framework is an extensible set of core foundational governance services – enabling enterprises to effectively and efficiently meet their compliance requirements within Hadoop and allows integration with the whole enterprise data ecosystem
DataHub 9,774 1 day ago DataHub is LinkedIn's generalized metadata search & discovery tool
Marquez 1,748 4 days ago Marquez is an open source metadata service for the collection, aggregation, and visualization of a data ecosystem's metadata
Metacat 1,608 16 days ago Metacat is a unified metadata exploration API service. Metacat focusses on solving these problems: 1) federated views of metadata systems; 2) arbitrary metadata storage about data sets; 3) metadata discovery
ML Metadata 617 5 days ago a library for recording and retrieving metadata associated with ML developer and data scientist workflows
Model Card Toolkit 421 about 1 year ago Model Card Toolkit is a toolkit that streamlines and automates the generation of model cards
TensorFlow Metadata 106 5 days ago TensorFlow Metadata provides standard representations for metadata that are useful when training machine learning models with TensorFlow

Main Content / Model, Data and Experiment Tracking

AI2 Tango 528 4 months ago AI2 Tango replaces messy directories and spreadsheets full of file versions by organizing experiments into discrete steps that can be cached and reused throughout the lifetime of a research project
Aim 5,163 11 days ago A super-easy way to record, search and compare AI experiments
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
ClearML 5,603 13 days ago Auto-Magical Experiment Manager & Version Control for AI (previously Trains)
CodaLab 155 4 months ago CodaLab Worksheets is a collaborative platform for reproducible research that allows researchers to run, manage, and share their experiments in the cloud. It helps researchers ensure that their runs are reproducible and consistent
Deepkit 365 over 1 year ago An open-source platform and cross-platform desktop application to execute, track, and debug modern machine learning experiments
Dolt 17,805 9 days ago Dolt is a SQL database that you can fork, clone, branch, merge, push and pull just like a git repository
DVC 13,667 12 days ago DVC (Data Version Control) is a git fork that allows for version management of models
Flor 151 about 1 month ago Easy to use logger and automatic version controller made for data scientists who write ML code
Guild AI 868 about 1 year ago Open source toolkit that automates and optimizes machine learning experiments
Hangar 203 about 4 years ago Version control for tensor data, git-like semantics on numerical data with high speed and efficiency
Keepsake 1,649 2 months ago Version control for machine learning
lakeFS 4,389 3 days ago Repeatable, atomic and versioned data lake on top of object storage
MLflow 18,423 10 days ago Open source platform to manage the ML lifecycle, including experimentation, reproducibility and deployment
ModelDB 1,696 3 months ago An open-source system to version machine learning models including their ingredients code, data, config, and environment and to track ML metadata across the model lifecycle
ModelStore 373 5 months ago An open-source Python library that allows you to version, export, and save a machine learning model to your cloud storage provider
Neptune 577 5 days ago Neptune is a scalable experiment tracker for teams that train foundation models
ormb 457 9 months ago Docker for Your ML/DL Models Based on OCI Artifacts
Polyaxon 3,555 14 days ago A platform for reproducible and scalable machine learning and deep learning on kubernetes -
Quilt 1,324 3 days ago Versioning, reproducibility and deployment of data and models
Sacred 4,232 about 2 months ago Tool to help you configure, organize, log and reproduce machine learning experiments
Studio 379 3 months ago Model management framework which minimizes the overhead involved with scheduling, running, monitoring and managing artifacts of your machine learning experiments
TerminusDB 2,744 2 months ago A graph database management system that stores data like git
Weights & Biases 8,988 1 day ago Weights & Biase is a machine learning experiment tracking, dataset versioning, hyperparameter search, visualization, and collaboration

Main Content / Model Storage Optimisation

AutoAWQ 1,682 21 days ago AutoAWQ is an easy-to-use package for 4-bit quantized models
AutoGPTQ 4,375 14 days ago An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm
AWQ 2,400 3 months ago Activation-aware Weight Quantization for LLM Compression and Acceleration
GGML 10,943 10 days ago GGML is a high-performance, tensor library for machine learning that enables efficient inference on CPUs, particularly optimized for large language models
GPTQ 1,895 7 months ago Accurate Post-training Quantization of Generative Pretrained Transformers
MMdnn 5,793 5 months ago MMdnn is a comprehensive cross-framework tool from Microsoft that facilitates model conversion, visualization, and deployment across various deep learning frameworks
neural-compressor 2,180 12 days ago Intel® Neural Compressor aims to provide popular model compression techniques such as quantization, pruning (sparsity), distillation, and neural architecture search on mainstream frameworks
NNEF Neural Network Exchange Format (NNEF) is an open standard for representing neural network models to enable interoperability and portability across different machine learning frameworks and platforms
ONNX 17,739 3 days ago ONNX (Open Neural Network Exchange) is an open-source format designed to facilitate interoperability and portability of machine learning models across different frameworks and platforms
PFA PFA (Portable Format for Analytics) format is a standard for representing and exchanging predictive models and analytics workflows in a portable, JSON-based format
PMML PMML (Predictive Model Markup Language) is an XML-based standard for representing and sharing predictive models between different applications
Quanto 788 4 days ago Quanto aims to simplify quantizing deep learning models

Main Content / Neural Search

Annoy 13,140 3 months ago Annoy (Approximate Nearest Neighbors Oh Yeah) is a C++ library with Python bindings to search for points in space that are close to a given query point
AutoRAG 1,564 3 days ago AutoRAG is a RAG AutoML tool for automatically finds an optimal RAG pipeline for your data
BeyondLLM 239 about 1 month ago Beyond LLM offers an all-in-one toolkit for experimentation, evaluation, and deployment of RAG systems, simplifying the process with automated integration, customizable evaluation metrics, and support for various LLMs tailored to specific needs, ultimately aiming to reduce LLM hallucination risks and enhance reliability
CLIP-as-service 12,404 9 months ago CLIP-as-service is a low-latency high-scalability service for embedding images and text. It can be easily integrated as a microservice into neural search solutions
Cognita 3,216 3 days ago Cognita is a RAG framework for building modular and production-ready applications
DocArray 2,951 11 days ago DocArray is a library for nested, unstructured, multimodal data in transit, including text, image, audio, video, 3D mesh, etc. It allows deep-learning engineers to efficiently process, embed, search, recommend, store, and transfer multimodal data with a Pythonic API
Faiss 30,701 17 days ago Faiss is a library for efficient similarity search and clustering of dense vectors
fastRAG 1,284 about 1 month ago fastRAG is a research framework for efficient and optimized retrieval augmented generative pipelines, incorporating state-of-the-art LLMs and Information Retrieval
Finetuner 1,467 7 months ago Finetuner provides an effective way to improve performance on neural search tasks
GraphRAG 17,743 11 days ago GraphRAG is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using the power of LLMs
HippoRAG 1,285 2 months ago HippoRAG is a novel retrieval augmented generation (RAG) framework inspired by the neurobiology of human long-term memory that enables LLMs to continuously integrate knowledge across external documents
llmware 4,653 5 days ago llmware provides a unified framework for building LLM-based applications (e.g, RAG, Agents), using small, specialized models that can be deployed privately, integrated with enterprise knowledge sources safely and securely, and cost-effectively tuned and adapted for any business process
Mem0 22,203 4 days ago Mem0 enhances AI assistants and agents with an intelligent memory layer, enabling personalized AI interactions
MindSQL 204 about 2 months ago MindSQL is a Python RAG library to streamline the interaction between users and their databases using just a few lines of code
NGT 1,244 25 days ago NGT provides commands and a library for performing high-speed approximate nearest neighbor searches against a large volume of data in high dimensional vector data space
NMSLIB 3,390 22 days ago Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces
Qdrant 19,996 10 days ago An open source vector similarity search engine with extended filtering support
RAGFlow 18,838 3 days ago RAGFlow is a RAG engine based on deep document understanding
RAGxplorer 1,071 7 months ago RAGxplorer is a tool to build RAG visualisations
Rule-based Retrieval 212 8 days ago Rule-based Retrieval enables users to create and manage RAG applications with advanced filtering capabilities
Vanna 11,076 15 days ago Vanna is a RAG framework for SQL generation and related functionality

Main Content / Optimized Computation

Adapters 2,541 about 2 months ago Adapters is a unified library for parameter-efficient and modular transfer learning
AutoTrain Advanced 3,828 11 days ago AutoTrain Advanced is a no-code solution that allows you to train machine learning models in just a few clicks
BindsNET 1,485 15 days ago BindsNET is a spiking neural network simulation library geared towards the development of biologically inspired algorithms for machine learning
BitBLAS 365 5 days ago BitBLAS is a library to support mixed-precision BLAS operations on GPUs
bitsandbytes 6,138 10 days ago Bitsandbytes library is a lightweight Python wrapper around CUDA custom functions, in particular 8-bit optimizers, matrix multiplication (LLM.int8()), and 8 & 4-bit quantization functions
BrainCog 441 about 2 months ago BrainCog (Brain-inspired Cognitive Intelligence Engine) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales
Composer 5,131 4 days ago Composer is a PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy
CuDF 8,313 10 days ago Built based on the Apache Arrow columnar memory format, cuDF is a GPU DataFrame library for loading, joining, aggregating, filtering, and otherwise manipulating data
CuML 4,175 11 days ago cuML is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects
CuPy 9,279 10 days ago An implementation of NumPy-compatible multi-dimensional array on CUDA. CuPy consists of the core multi-dimensional array class, cupy.ndarray, and many functions on it
Flax 6,022 3 days ago A neural network library and ecosystem for JAX designed for flexibility
H2O-3 6,873 13 days ago Fast scalable Machine Learning platform for smarter applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc
Jax 30,101 8 days ago Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Kompute 1,964 14 days ago Blazing fast, lightweight and mobile phone-enabled Vulkan compute framework optimized for advanced GPU data processing usecases
MLX 16,674 4 days ago MLX is an array framework for machine learning on Apple silicon
Modin 9,827 21 days ago Speed up your Pandas workflows by changing a single line of code
Nevergrad 3,946 8 days ago Nevergrad is a gradient-free optimisation platform
Norse 657 27 days ago Norse aims to exploit the advantages of bio-inspired neural components, which are sparse and event-driven - a fundamental difference from artificial neural networks
Numba 9,842 11 days ago A compiler for Python array and numerical functions
NumpyGroupies 194 2 months ago Optimised tools for group-indexing operations: aggregated sum and more
OpenFlamingo 3,687 about 1 month ago OpenFlamingo is an open-source framework for training large multimodal models
Optimum 2,504 3 days ago Optimum is an extension of Transformers and Diffusers, providing a set of optimization tools enabling maximum efficiency to train and run models on targeted hardware while keeping things easy to use
PEFT 16,045 3 days ago Parameter-Efficient Fine-Tuning (PEFT) methods enable efficient adaptation of pre-trained language models (PLMs) to various downstream applications without fine-tuning all the model's parameters
PyTorch 82,603 11 days ago PyTorch is a library to develop and train neural network based deep learning models
scikit-learn 59,578 12 days ago Scikit-learn is a powerful machine learning library that provides a wide variety of modules for data access, data preparation and statistical model building
SetFit 2,179 23 days ago SetFit is an efficient and prompt-free framework for few-shot fine-tuning of Sentence Transformers
snnTorch 1,290 2 months ago snnTorch is a deep and online learning library with spiking neural networks
Sonnet 9,758 11 days ago Sonnet is a library built on top of TensorFlow 2 designed to provide simple, composable abstractions for machine learning research
Tensor2Tensor 15,394 over 1 year ago Tensor2Tensor is a library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research
TensorFlow 185,782 12 days ago TensorFlow is a leading library designed for developing and deploying state-of-the-art machine learning applications
ThunderKittens 1,525 3 days ago ThunderKittens is a framework to make it easy to write fast deep learning kernels in CUDA
torchkeras 1,720 23 days ago The torchkeras library is a simple tool for training neural network in pytorch jusk in a keras style
TorchOpt 533 5 days ago TorchOpt is an efficient library for differentiable optimization built upon PyTorch
Vaex 8,270 11 days ago Vaex is a high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets. Vaex uses memory mapping, zero memory copy policy and lazy computations for best performance (no memory wasted)
Vowpal Wabbit 8,468 2 months ago Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning
Weld 2,992 over 2 years ago High-performance runtime for data analytics applications, Here is an with Weld’s main contributor
XGBoost 26,140 12 days ago XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable
yellowbrick 4,278 15 days ago yellowbrick is a matplotlib-based model evaluation plots for scikit-learn and other machine learning libraries

Main Content / Privacy and Security

BastionLab 170 about 1 year ago BastionLab is a framework for confidential data science collaboration. It uses Confidential Computing, Access control data science, and Differential Privacy to enable data scientists to remotely perform data exploration, statistics, and training on confidential data while ensuring maximal privacy for data owners
Concrete-ML 942 5 days ago Concrete-ML is a Privacy-Preserving Machine Learning (PPML) open-source set of tools built on top of The Concrete Framework by . It aims to simplify the use of fully homomorphic encryption (FHE) for data scientists to help them automatically turn machine learning models into their homomorphic equivalent
Fedlearner 892 3 months ago Fedlearner is collaborative machine learning framework that enables joint modeling of data distributed between institutions
FATE 5,673 about 2 months ago FATE (Federated AI Technology Enabler) is the world's first industrial grade federated learning open source framework to enable enterprises and institutions to collaborate on data while protecting data security and privacy
FedML 4,158 4 days ago FedML provides a research and production integrated edge-cloud platform for Federated/Distributed Machine Learning at anywhere at any scale
Flower 4,925 11 days ago Flower is a Federated Learning Framework with a unified approach. It enables the federation of any ML workload, with any ML framework, and any programming language
Google's Differential Privacy 3,032 18 days ago This is a C++ library of ε-differentially private algorithms, which can be used to produce aggregate statistics over numeric data sets containing private or sensitive information
Guardrails 3,950 4 days ago Guardrails is a package that lets a user add structure, type and quality guarantees to the outputs of large language models
Intel Homomorphic Encryption Backend 220 almost 2 years ago The Intel HE transformer for nGraph is a Homomorphic Encryption (HE) backend to the Intel nGraph Compiler, Intel's graph compiler for Artificial Neural Networks
Microsoft SEAL 3,556 3 months ago Microsoft SEAL is an easy-to-use open-source (MIT licensed) homomorphic encryption library developed by the Cryptography Research group at Microsoft
OpenFL 716 3 days ago OpenFL is a Python framework for Federated Learning. OpenFL is designed to be a , and tool for data scientists. OpenFL is developed by Intel Internet of Things Group (IOTG) and Intel Labs
PySyft 9,464 3 days ago A Python library for secure, private Deep Learning. PySyft decouples private data from model training, using Multi-Party Computation (MPC) within PyTorch
Rosetta 562 over 2 years ago A privacy-preserving framework based on TensorFlow with customized backend Operations using Multi-Party Computation (MPC). Rosetta reuses the APIs of TensorFlow and allows to transfer original TensorFlow codes into a privacy-preserving manner with minimal changes
Substra 269 9 days ago Substra is an open-source framework for privacy-preserving, traceable and collaborative Machine Learning
Tensorflow Privacy 1,928 23 days ago A Python library that includes implementations of TensorFlow optimizers for training machine learning models with differential privacy
TF Encrypted 1,204 17 days ago A Framework for Confidential Machine Learning on Encrypted Data in TensorFlow

Main Content / Training Orchestration

Accelerate 7,789 3 days ago Accelerate abstracts exactly and only the boilerplate code related to multi-GPU/TPU/mixed-precision and leaves the rest of your code unchanged
Axolotl 7,656 11 days ago Axolotl is a tool designed to streamline the fine-tuning of various AI models, offering support for multiple configurations and architectures
CML 4,012 7 days ago Continuous Machine Learning (CML) is an open-source library for implementing continuous integration & delivery (CI/CD) in machine learning projects
CoreNet 6,941 5 months ago CoreNet is a deep neural network toolkit that allows researchers and engineers to train standard and novel small and large-scale models for variety of tasks, including foundation models (e.g., CLIP and LLM), object classification, object detection, and semantic segmentation
Determined 3,005 4 days ago Deep learning training platform with integrated support for distributed training, hyperparameter tuning, and model management (supports Tensorflow and Pytorch)
envd 1,954 20 days ago Machine learning development environment for data science and AI/ML engineering teams
Fabrik 1,124 almost 4 years ago Fabrik is an online collaborative platform to build, visualize and train deep learning models via a simple drag-and-drop interface
Hopsworks 1,146 12 days ago Hopsworks is a data-intensive platform for the design and operation of machine learning pipelines that includes a Feature Store -
Ludwig 11,111 17 days ago Ludwig is a low-code framework for building custom AI models like LLMs and other deep neural networks
Kubeflow 14,249 10 days ago A cloud-native platform for machine learning based on Google’s internal machine learning pipelines
MFTCoder 624 4 months ago MFTCoder is an open-source project of CodeFuse for accurate and efficient Multi-task Fine-tuning(MFT) on Large Language Models(LLMs), especially on Code-LLMs(large language model for code tasks)
MLeap 1,501 3 months ago Standardisation of pipeline and model serialization for Spark, Tensorflow and sklearn
Nanotron 1,159 3 days ago Nanotron provides distributed primitives to train a variety of models efficiently using 3D parallelism
NeMo 11,740 4 days ago NVIDIA NeMo is a scalable and cloud-native generative AI framework built for researchers and PyTorch developers working on Large Language Models (LLMs), Multimodal Models (MMs), Automatic Speech Recognition (ASR), Text to Speech (TTS), and Computer Vision (CV) domains. It is designed to help you efficiently create, customize, and deploy new generative AI models by leveraging existing code and pre-trained model checkpoints
Nos 617 6 months ago Nos is an open-source platform to efficiently run AI workloads on Kubernetes, increasing GPU utilization and reducing infrastructure and operational costs
NVIDIA TensorRT 10,618 10 days ago TensorRT is a C++ library for high-performance inference on NVIDIA GPUs and deep learning accelerators
Open Platform for AI 2,631 4 months ago Platform that provides complete AI model training and resource management capabilities
PyCaret 8,850 about 1 month ago ) - low-code library for training and deploying models (scikit-learn, XGBoost, LightGBM, spaCy)
Sematic 970 17 days ago Platform to build resource-intensive pipelines with simple Python
Skaffold 14,986 4 days ago Skaffold is a command line tool that facilitates continuous development for Kubernetes applications. You can iterate on your application source code locally then deploy to local or remote Kubernetes clusters
Streaming 1,096 4 days ago A Data Streaming Library for Efficient Neural Network Training
TFX 2,109 3 days ago Tensorflow Extended (TFX) is a production oriented configuration framework for ML based on TensorFlow, incl. monitoring and model version management
torchdistill 1,360 about 1 month ago torchdistill offers various state-of-the-art knowledge distillation methods and enables you to design (new) experiments simply by editing a declarative yaml config file instead of Python code
veScale 588 about 2 months ago veScale is a PyTorch native LLM training framework

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