hyperopt-sklearn
parameter optimizer
Automates search for optimal parameters in machine learning algorithms.
Hyper-parameter optimization for sklearn
2k stars
58 watching
274 forks
Language: Python
last commit: over 2 years agoLinked from 5 awesome lists
josephmisiti/awesome-machine-learning
jobbole/awesome-machine-learning-cn
hibayesian/awesome-automl-papers
krzjoa/awesome-python-data-science
windmaple/awesome-automlRelated projects:
| Repository | Description | Stars |
|---|---|---|
 rodrigo-arenas/sklearn-genetic-opt | Automated hyperparameter tuning and feature selection using evolutionary algorithms. | 316 |
 maxpumperla/hyperas | A simple wrapper around Keras and Hyperopt for convenient hyperparameter optimization. | 2,179 |
 guillaume-chevalier/hyperopt-keras-cnn-cifar-100 | Automates hyperparameter optimization and neural network architecture search using Hyperopt on a CNN model for the CIFAR-100 dataset | 106 |
 huntermcgushion/hyperparameter_hunter | Automates hyperparameter optimization and result saving across machine learning algorithms | 706 |
 liyanghart/hyperparameter-optimization-of-machine-learning-algorithms | Provides tools and techniques for tuning hyperparameters in machine learning models to improve performance. | 1,283 |
 automl/smac3 | An optimization framework for machine learning hyperparameters | 1,093 |
 kirthevasank/nasbot | An implementation of Neural Architecture Search with Bayesian Optimization and Optimal Transport | 133 |
 syne-tune/syne-tune | A tool for large-scale and asynchronous hyperparameter optimization in machine learning | 393 |
 claesenm/optunity | A collection of algorithms for hyperparameter optimization in machine learning models | 417 |
 guopengf/auto-fedrl | A reinforcement learning-based framework for optimizing hyperparameters in distributed machine learning environments. | 15 |
 rsteca/sklearn-deap | Replaces grid search with evolutionary algorithms to find optimal parameters for machine learning models | 771 |
 herilalaina/mosaic_ml | Automated machine learning with tree search optimization | 16 |
 gdikov/hypertunity | A toolset for optimizing hyperparameters of machine learning models using Bayesian optimization and real-time visualization. | 136 |
 jiangoforit/yellowfin_pytorch | An optimizer that automatically tunes momentum and learning rate using local quadratic approximation. | 287 |
 lucfra/far-ho | A package for optimizing hyperparameters and meta-learning using gradient-based methods in TensorFlow. | 188 |