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.
ray-project / ray
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.
autogluon / autogluon
Fast and Accurate ML in 3 Lines of Code
microsoft / FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
polyaxon / polyaxon
AI Infra / AI Orchestration / AI Control Plane
mljar / mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
DLR-RM / rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
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
optuna / optuna-dashboard
Real-time Web Dashboard for Optuna.
aimclub / FEDOT
Automated modeling and machine learning framework FEDOT
CyberAgentAILab / cmaes
Python library for CMA Evolution Strategy.
Himanshu-giri-01 / k8s-ai-runtime
Streamline AI Workloads on Kubernetes: Universal Python SDK Guide 2026
fh6312 / kubeflow-pipeline-forge
Best AI Workload Orchestrator for Kubernetes Python 2026