ray-project / ray

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

autogluon / autogluon

Fast and Accurate ML in 3 Lines of Code

DLR-RM / rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

optuna / optuna

A hyperparameter optimization framework

wandb / wandb

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

mljar / mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

google / vizier

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

autonomio / talos

Hyperparameter Experiments with TensorFlow and Keras

automl / SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

AgileRL / AgileRL

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.

optuna / optuna-examples

Examples for https://github.com/optuna/optuna

aimclub / FEDOT

Automated modeling and machine learning framework FEDOT

CyberAgentAILab / cmaes

Python library for CMA Evolution Strategy.