hyperparameter-optimization topic

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

automl

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

sherpa-ai

DeepArchitect: Automatically Designing and Training Deep Architectures

negrinho

A hyperparameter optimization framework

optuna

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

determined-ai

Streamlined machine learning experiment management.

seba-1511

ML hyperparameters tuning and features selection, using evolutionary algorithms.

rodrigo-arenas

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

lucfra

A Clojure machine learning library

scicloj

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

SimonBlanke