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

A hyperparameter optimization framework

⚠️ This software is no longer maintained -- Fast, free dictionary viewer for the Longman Dictionary of Contemporary English (LDOCE) 5th ed.

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

Collection of reinforcement learning algorithms

Grokking Deep Reinforcement Learning

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Data Lake on the Edge

A small package to create visualizations of PyTorch execution graphs

✨ Star charts and maps in Python

lzbench is an in-memory benchmark of open-source compressors

An extension of the PyMARL codebase that includes additional algorithms and environment support

Python Multi-Agent Reinforcement Learning framework

Sprintz time series compression algorithm

Author's PyTorch implementation of TD7 for online and offline RL

Author's PyTorch implementation of TD3 for OpenAI gym tasks

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

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

Collection of publicly available IPTV channels from all over the world

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

🌐 The Internet Computer! Free, Open-Source, and Self-Hostable.

Massively parallel rigidbody physics simulation on accelerator hardware.

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

A unified framework for machine learning with time series

Adaptive task scheduling, Task offloading, Resource Allocation, Application Placement in Edge and Fog Computing Environments

🤗 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.

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.