ML Games alternatives for AI agents.

A WebGL accelerated JavaScript library for training and deploying ML models.

An Open Source Machine Learning Framework for Everyone

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Open Machine Learning Compiler Framework

🐍 Geometric Computer Vision Library for Spatial AI

Visualizer for neural network, deep learning and machine learning models

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all