Repository Index

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

• ray
• distributed
• parallel
• machine-learning

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

• deep-learning
• pytorch
• gpu
• machine-learning

A hyperparameter optimization framework

• python
• machine-learning
• parallel
• distributed

The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.

• cloud-computing
• deep-learning
• gpu
• hyperparameter-tuning

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

• bloom
• deep-learning
• distributed-systems
• language-models

Build, Manage and Deploy AI/ML Systems

• machine-learning
• model-management
• ai
• ml

Accelerated deep learning R&D

• deep-learning
• reinforcement-learning
• machine-learning
• computer-vision

MLBox is a powerful Automated Machine Learning python library.

• machine-learning
• auto-ml
• kaggle
• deep-learning

PySpark + Scikit-learn = Sparkit-learn

• scikit-learn
• apache-spark
• machine-learning
• distributed-computing

Maze Applied Reinforcement Learning Framework

• reinforcement-learning
• python
• machine-learning
• simulation

Stream Processing Made Easy

• machine-learning
• reactive-programming
• kafka
• reactive-systems

Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.

• collaborative-editing
• conflict-resolution
• crdt
• data-engineering