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Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A hyperparameter optimization framework
Fast and Accurate ML in 3 Lines of Code
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Automated Machine Learning with scikit-learn
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
AI Infra / AI Orchestration / AI Control Plane
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Sequential model-based optimization with a `scipy.optimize` interface
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Hyperparameter Experiments with TensorFlow and Keras
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
Bayesian Optimization using GPflow