hyper-parameter-tuning

Automated Machine Learning with scikit-learn

A modular active learning framework for Python

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

A multi-platform desktop application to evaluate and compare LLM models, written in Rust and React.

a distributed Hyperband implementation on Steroids

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

Bayesian Optimization and Design of Experiments

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

Bayesian Optimization as a Coverage Tool for Evaluating LLMs. Accurate evaluation (benchmarking) that's 10 times faster with just a few lines of modular code.