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GitHub / LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Stars: 1,255
Forks: 298
Open Issues: 0
License: mit
Language: Jupyter Notebook
Repo Size: 235 KB
Dependencies:
0
Created: almost 4 years ago
Updated: 18 days ago
Last pushed: over 1 year ago
Last synced: 18 days ago
Topics: artificial-neural-networks, bayesian-optimization, deep-learning, genetic-algorithm, grid-search, hpo, hyperband, hyperparameter-optimization, hyperparameter-tuning, knn, machine-learning, machine-learning-algorithms, optimization, particle-swarm-optimization, python-examples, python-samples, random-forest, random-search, svm, tuning-parameters
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