drmad
Hyperparameter tuner
A toolbox for efficient hyperparameter tuning in deep learning using Bayesian optimization and automatic differentiation
Hyper-parameter Optimization with DrMAD and Hypero
23 stars
11 watching
3 forks
Language: Lua
last commit: over 8 years ago
Linked from 1 awesome list
carpedm20/awesome-torchRelated projects:
| Repository | Description | Stars |
|---|---|---|
 liyanghart/hyperparameter-optimization-of-machine-learning-algorithms | Provides tools and techniques for tuning hyperparameters in machine learning models to improve performance. | 1,283 |
 zygmuntz/hyperband | A hyperparameter tuning framework with support for multiple machine learning models and algorithms. | 594 |
 autonomio/talos | A tool for automating hyperparameter experiments for machine learning models using TensorFlow and Keras | 1,626 |
 kirthevasank/nasbot | An implementation of Neural Architecture Search with Bayesian Optimization and Optimal Transport | 133 |
 tobegit3hub/advisor | An open-source hyperparameters tuning system for black box optimization | 1,550 |
 rodrigo-arenas/sklearn-genetic-opt | Automated hyperparameter tuning and feature selection using evolutionary algorithms. | 316 |
 syne-tune/syne-tune | A tool for large-scale and asynchronous hyperparameter optimization in machine learning | 393 |
 jmrichardson/tuneta | Automates optimization of technical indicators for machine learning models in finance | 421 |
 lucfra/far-ho | A package for optimizing hyperparameters and meta-learning using gradient-based methods in TensorFlow. | 188 |
 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 |
 automl/smac3 | An optimization framework for machine learning hyperparameters | 1,093 |
 microsoft/archai | Automates the search for optimal neural network configurations in deep learning applications | 468 |
 huntermcgushion/hyperparameter_hunter | Automates hyperparameter optimization and result saving across machine learning algorithms | 706 |
 gdikov/hypertunity | A toolset for optimizing hyperparameters of machine learning models using Bayesian optimization and real-time visualization. | 136 |
 claesenm/optunity | A collection of algorithms for hyperparameter optimization in machine learning models | 417 |