GitHub / LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
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PURL: pkg:github/LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Stars: 1,293
Forks: 304
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 235 KB
Dependencies parsed at: Pending
Created at: almost 5 years ago
Updated at: about 1 month ago
Pushed at: almost 3 years ago
Last synced at: about 1 month ago
Topics: artificial-neural-networks, automated-machine-learning, automl, bayesian-optimization, deep-learning, genetic-algorithm, grid-search, hpo, hyperparameter-optimization, hyperparameter-tuning, machine-learning, machine-learning-algorithms, machine-learning-optimization, optimization, particle-swarm-optimization, python-examples, python-samples, random-forest, random-search, tuning-parameters