LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Date Created 2020-07-23 (3 years ago)

Commits 40 (last one about a year ago)

Stargazers 1,253 (0 this week)

Watchers 88 (0 this week)

Forks 297

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RepositoryStats indexes 534,551 repositories, of these LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms is ranked #39,315 (93rd percentile) for total stargazers, and #20,880 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #782/14,929.

LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms is also tagged with popular topics, for these it's ranked: deep-learning (#1,039/7827), machine-learning (#1,068/7371), optimization (#68/804), machine-learning-algorithms (#36/250), genetic-algorithm (#14/135), hyperparameter-optimization (#22/115)

All Topics

hpo knn svm hyperband grid-search optimization deep-learning random-forest random-search python-samples python-examples machine-learning genetic-algorithm tuning-parameters bayesian-optimization hyperparameter-tuning artificial-neural-networks hyperparameter-optimization machine-learning-algorithms particle-swarm-optimization

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4 commits on the default branch (master) since jan '22

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The only known language in this repository is Jupyter Notebook

updated: 2024-06-26 @ 10:51pm, id: 281841206 / R_kgDOEMyONg