HpBandSter
HPO framework
A distributed framework for optimizing hyperparameters in machine learning models
a distributed Hyperband implementation on Steroids
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
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 |