Hyperparameter Optimization GitHub Repositories (2026) · Open Source Tools

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

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

Fast and Accurate ML in 3 Lines of Code

Hyperparameter Experiments with TensorFlow and Keras

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.

Automated modeling and machine learning framework FEDOT

Universal Python SDK to run AI workloads on Kubernetes