HpBandSter
HPO framework
A distributed framework for optimizing hyperparameters in machine learning models
a distributed Hyperband implementation on Steroids
612 stars
26 watching
109 forks
Language: Python
last commit: over 2 years ago
Linked from 2 awesome lists
automated-machine-learningautomlbayesian-optimizationhyperparameter-optimizationneural-architecture-search
Related projects:
Repository | Description | Stars |
---|---|---|
datacanvasio/hypernets | An automated machine learning framework that simplifies the development of end-to-end AutoML toolkits in specific domains. | 267 |
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 | 140 |
automl/robo | A Bayesian optimization framework designed to optimize complex functions with robustness and flexibility | 484 |
automl/smac3 | An optimization framework for machine learning hyperparameters | 1,093 |
datacanvasio/hypergbm | Automated machine learning tool for tabular data pipelines | 343 |
pku-dair/mindware | An efficient AutoML system that automates the machine learning lifecycle | 53 |
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 | 1,235 |
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 | 1,626 |
zygmuntz/hyperband | A hyperparameter tuning framework with support for multiple machine learning models and algorithms. | 594 |
hypervoyager/pfl | An implementation of heterogeneous federated learning with parallel edge and server computation | 17 |
hannes-brt/hebel | A Python library for building and training neural networks using GPU acceleration | 1,169 |