 Hyperparameter-Optimization-of-Machine-Learning-Algorithms
 Hyperparameter-Optimization-of-Machine-Learning-Algorithms 
 Hyperparameter Tuner
 Provides tools and techniques for tuning hyperparameters in machine learning models to improve performance.
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
1k stars
 89 watching
 300 forks
 
Language: Jupyter Notebook 
last commit: about 3 years ago 
Linked from   1 awesome list  
  artificial-neural-networksbayesian-optimizationdeep-learninggenetic-algorithmgrid-searchhpohyperbandhyperparameter-optimizationhyperparameter-tuningknnmachine-learningmachine-learning-algorithmsoptimizationparticle-swarm-optimizationpython-examplespython-samplesrandom-forestrandom-searchsvmtuning-parameters 
 Related projects:
| Repository | Description | Stars | 
|---|---|---|
|  | An implementation of Neural Architecture Search with Bayesian Optimization and Optimal Transport | 133 | 
|  | A tool for large-scale and asynchronous hyperparameter optimization in machine learning | 393 | 
|  | A toolbox for efficient hyperparameter tuning in deep learning using Bayesian optimization and automatic differentiation | 23 | 
|  | Automates hyperparameter optimization and result saving across machine learning algorithms | 706 | 
|  | Automated hyperparameter tuning and feature selection using evolutionary algorithms. | 316 | 
|  | A hyperparameter tuning framework with support for multiple machine learning models and algorithms. | 594 | 
|  | An open-source hyperparameters tuning system for black box optimization | 1,550 | 
|  | An algorithm for training self-generalizing gradient boosting machines with automatic hyperparameter optimization and improved performance on various machine learning tasks | 321 | 
|  | A tool for automating hyperparameter experiments for machine learning models using TensorFlow and Keras | 1,626 | 
|  | Automates search for optimal parameters in machine learning algorithms. | 1,594 | 
|  | Automates hyperparameter optimization and neural network architecture search using Hyperopt on a CNN model for the CIFAR-100 dataset | 106 | 
|  | A collection of algorithms for hyperparameter optimization in machine learning models | 417 | 
|  | An optimization framework for machine learning hyperparameters | 1,093 | 
|  | Automates optimization of technical indicators for machine learning models in finance | 421 | 
|  | A toolset for optimizing hyperparameters of machine learning models using Bayesian optimization and real-time visualization. | 136 |