HpBandSter

HPO framework

A distributed framework for optimizing hyperparameters in machine learning models

a distributed Hyperband implementation on Steroids

GitHub

611 stars
26 watching
109 forks
Language: Python
last commit: about 2 years ago
Linked from 2 awesome lists

automated-machine-learningautomlbayesian-optimizationhyperparameter-optimizationneural-architecture-search

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
datacanvasio/hypernets An automated machine learning framework that simplifies the development of end-to-end AutoML toolkits for various domains. 266
guopengf/auto-fedrl A reinforcement learning-based framework for optimizing hyperparameters in distributed machine learning environments. 15
automl/hpobench A collection of benchmark problems for hyperparameter optimization 138
automl/robo A Bayesian optimization framework designed to optimize complex functions with robustness and flexibility 483
automl/smac3 An optimization framework for machine learning hyperparameters 1,085
datacanvasio/hypergbm An AutoML toolkit designed to automate the entire machine learning process pipeline for tabular data 337
pku-dair/mindware An efficient AutoML system that automates the machine learning lifecycle 52
gudovskiy/autodo Develops an automated machine learning framework to improve deep learning model performance on biased and noisy data 24
sb-ai-lab/lightautoml A framework for creating machine learning models with minimal code and customization options 1,204
herilalaina/mosaic_ml Automated machine learning with tree search optimization 16
huntermcgushion/hyperparameter_hunter Automates hyperparameter optimization and result saving across machine learning algorithms 706
autonomio/talos A tool for automating hyperparameter experiments for machine learning models using TensorFlow and Keras 1,625
zygmuntz/hyperband A hyperparameter tuning framework with support for multiple machine learning models and algorithms. 593
hypervoyager/pfl An implementation of heterogeneous federated learning with parallel edge and server computation 16
hannes-brt/hebel A deep learning library that provides GPU acceleration and various neural network models and training methods. 1,169