Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

🦉 Data Version Control | Git for Data & Models | ML Experiments Management

Minimal and clean examples of machine learning algorithms implementations

Data-centric declarative deep learning framework

A Python framework for creating reproducible, maintainable and modular data science code.

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Feature Store for Machine Learning

Snips Python library to extract meaning from text

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

A library for transfer learning by reusing parts of TensorFlow models.

Deepchecks - Tests for Continuous Validation of ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

modular quant framework.

A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms.

[UNMAINTAINED] Automated machine learning for analytics & production