Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Fast and Accurate ML in 3 Lines of Code
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
A hyperparameter optimization framework
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Distributed Asynchronous Hyperparameter Optimization in Python
AI Infra / AI Orchestration / AI Control Plane
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Automated Machine Learning on Kubernetes
Machine Learning in R
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Hyperparameter Experiments with TensorFlow and Keras
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
parquet file parser for javascript
The complete post-training stack for LLMs, plus RL for any problem. SFT, DPO and multi-turn agentic RL, with evolutionary hyperparameter optimization built in.
Examples for https://github.com/optuna/optuna
Real-time Web Dashboard for Optuna.
Automated modeling and machine learning framework FEDOT
Python library for CMA Evolution Strategy.
Clean ML Framework 2026: Simplify Machine Learning Code Structure and Hyperparameters
Streamline AI Workloads on Kubernetes: Universal Python SDK Guide 2026
Best AI Workload Orchestrator for Kubernetes Python 2026