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Build, Manage and Deploy AI/ML Systems

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

TensorFlow-based neural network library

A unified framework for machine learning with time series

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

Deep learning library featuring a higher-level API for TensorFlow.

A python library for user-friendly forecasting and anomaly detection on time series.

Containers for machine learning

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

Running large language models on a single GPU for throughput-oriented scenarios.

AutoML library for deep learning

A Beautiful Open Source RSS & Podcast App Powered by Getstream.io

ModelScope: bring the notion of Model-as-a-Service to life.

Deep universal probabilistic programming with Python and PyTorch

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

🧙 Build, run, and manage data pipelines for integrating and transforming data.

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

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.

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

Accessible large language models via k-bit quantization for PyTorch.

Production infrastructure for machine learning at scale

A self-hosted open source photo management service.

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Bindu: The identity, communication, and payments layer for AI agents.