Auto-tuning-of-Classic-Machine-Learning-Models-Hyperparameters-Using-Scikit-Learn

A hyperparameter optimization framework

Automated Machine Learning with scikit-learn

A curated list of automated machine learning papers, articles, tutorials, slides and projects

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

A Hyperparameter Tuning Library for Keras

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Hyperparameter Experiments with TensorFlow and Keras

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization