Project Name	Stars	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Hyperactive	475	5	6 months ago	75	October 24, 2023	8	mit	Python
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Intrusion Detection System Using Machine Learning	248		8 months ago				mit	Jupyter Notebook
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Bayesboost	206		8 years ago				apache-2.0
Bayesian Optimization using xgboost and sklearn API
Ds Ml Public	49		a year ago			1		Jupyter Notebook
Python Scripts and Jupyter Notebooks
Oasw Concept Drift Detection And Adaptation	42		5 months ago				mit	Jupyter Notebook
An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.
Mlbayesopt	39		5 years ago	2	March 20, 2019	10	other	R
R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with gaussian process
Xgboost Lightgbm Hyperparameter Tuning	14		6 years ago					Python
Bayesian Optimization and Grid Search for xgboost/lightgbm

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Hyperactive ⭐ 475

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

dependent packages 5total releases 75most recent commit 6 months ago

Intrusion Detection System Using Machine Learning ⭐ 248

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

most recent commit 8 months ago

Bayesboost ⭐ 206

Bayesian Optimization using xgboost and sklearn API

most recent commit 8 years ago

Ds Ml Public ⭐ 49

Python Scripts and Jupyter Notebooks

most recent commit a year ago

Oasw Concept Drift Detection And Adaptation ⭐ 42

An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.

most recent commit 5 months ago

Mlbayesopt ⭐ 39

R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with gaussian process

total releases 2most recent commit 5 years ago

Xgboost Lightgbm Hyperparameter Tuning ⭐ 14

Bayesian Optimization and Grid Search for xgboost/lightgbm

most recent commit 6 years ago

Suggest An Alternative To xgboost-lightgbm-hyperparameter-tuning

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Xgboost Lightgbm Hyperparameter Tuning vs Hyperactive

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Xgboost Lightgbm Hyperparameter Tuning vs Ds Ml Public

Xgboost Lightgbm Hyperparameter Tuning vs Oasw Concept Drift Detection And Adaptation

Xgboost Lightgbm Hyperparameter Tuning vs Mlbayesopt

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