Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Making large AI models cheaper, faster and more accessible
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Distributed Task Queue (development branch)
《Designing Data-Intensive Application》DDIA 第一版 / 第二版 中文翻译
A hyperparameter optimization framework
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Modin: Scale your Pandas workflows by changing a single line of code
Build, Manage and Deploy AI/ML Systems
Distributed Asynchronous Hyperparameter Optimization in Python
Centralized network visibility and continuous asset discovery. Monitor devices, detect change, and stay aware across distributed networks.
《深入理解 AI Infra：量化分析与系统设计》（李博杰 著）开源书稿：从硬件约束和模型架构出发，量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验
Real-time monitor and web admin for Celery distributed task queue
Python Stream Processing
Distributed Evolutionary Algorithms in Python
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
A fast and reliable background task processing library for Python 3.
Superduper: End-to-end framework for building custom AI applications and agents.
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
Accelerated deep learning R&D
Distributed task queue with full async support