hyperparameter-tuning topic

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

LiYangHart

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

araffin

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

DLR-RM

Automated Machine Learning with scikit-learn

automl

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

HunterMcGushion

Sequential model-based optimization with a `scipy.optimize` interface

scikit-optimize

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

automl

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

sherpa-ai

Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classifi...

Mattdl

Sentence Classifications with Neural Networks

lettergram