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grid-search

Here are 203 public repositories matching this topic...

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

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

Updated Sep 22, 2022
Jupyter Notebook

databricks / spark-sklearn

(Deprecated) Scikit-learn integration package for Apache Spark

machine-learning apache-spark scikit-learn grid-search parameter-tuning

Updated Dec 3, 2019
Python

williamFalcon / test-tube

Python library to easily log experiments and parallelize hyperparameter search for neural networks

data-science machine-learning caffe deep-learning chainer tensorflow keras pytorch neural-networks hyperparameter-optimization grid-search random-search caffe2

Updated Jul 22, 2022
JavaScript

Architectshwet / Loan-prediction-using-Machine-Learning-and-Python

To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and matplotlib

machine-learning scikit-learn pandas seaborn xgboost matplotlib grid-search voting-classifier

Updated May 26, 2018
Jupyter Notebook

WLOGSolutions / telco-customer-churn-in-r-and-h2o

Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)

machine-learning r h2o showcase gradient-boosting-machine grid-search churn-prediction h2oai rsuite

Updated Sep 28, 2017
R

farhanchoudhary / Machine_Learning_A-Z_All_Codes_and_Templates

All codes, both created and optimized for best results from the SuperDataScience Course

natural-language-processing reinforcement-learning deep-learning clustering cross-validation naive-bayes-classifier thompson-sampling neural-networks classification dimensionality-reduction grid-search principal-component-analysis clustering-algorithm upper-confidence-bounds k-fold xgboost-algorithm association-rule-learning machine-learning-az

Updated Nov 5, 2017
Python

dezoito / ollama-grid-search

A multi-platform desktop application to evaluate and compare LLM models, written in Rust and React.

rust ai testing-tools ab-testing grid-search gridsearch llm ollama

Updated Oct 31, 2024
TypeScript

devssh / svm

Learn to use Support Vector Machines in Python(sklearn) and R

python r anaconda rstudio svm sklearn jupyter-notebook cross-validation ipython-notebook pandas credit-card-fraud kaggle matplotlib support-vector-machines grid-search mushroom-classification pyplot rbf

Updated Aug 16, 2017
Jupyter Notebook

gmontamat / gentun

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

machine-learning tensorflow genetic-algorithm scikit-learn keras cross-validation xgboost hyperparameter-optimization convolutional-neural-networks genetic-algorithms grid-search hyperparameter-tuning distributed-algorithm master-worker gene-encoding distributed-genetic-algorithm

Updated Sep 25, 2024
Python

jia-zhuang / xgboost-lightgbm-hyperparameter-tuning

Bayesian Optimization and Grid Search for xgboost/lightgbm

xgboost lightgbm grid-search bayesian-optimization hyperparameter-tuning

Updated Dec 26, 2018
Python

dumebi / Predicting-Boston-Housing-Prices

Udacity Machine Learning Course Predicting Boston Housing Prices

python machine-learning udacity cross-validation dataset variance boston grid-search udacity-machine-learning-nanodegree boston-housing-dataset max-depth maximum-depth

Updated May 10, 2018
Python

Davisy / Hyperparameter-Optimization-Techniques

Different hyperparameter optimization methods to get best performance for your Machine Learning Models

machine-learning hyperparameter-optimization hyperopt grid-search random-search

Updated Oct 4, 2020
Jupyter Notebook

sourcecode369 / ml-algorithms-on-scikit-and-keras

Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..

Updated Jul 22, 2018
Jupyter Notebook

buomsoo-kim / Machine-learning-toolkits-with-python

Machine learning toolkits with Python

python bootstrap machine-learning metrics scikit-learn evaluation cross-validation ensemble ensemble-learning roc grid-search

Updated Oct 7, 2017
Jupyter Notebook

JuliaAI / MLJTuning.jl

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

machine-learning julia hyperparameter-optimization grid-search random-search mlj

Updated Jul 19, 2024
Julia

sandipanpaul21 / Tree-Based-Models-in-Python

Tree based algorithm in machine learning including both theory and codes. Topics including from decision tree regression and classification to random forest tree and classification. Grid Search is also included.

random-forest grid-search decision-tree decision-boundary regression-trees grid-search-hyperparameters classification-tree decision-regions

Updated Dec 7, 2021
Jupyter Notebook

eHarmony / spotz

Spark Parameter Optimization and Tuning

machine-learning spark optimizer hyperparameters hyperparameter-optimization machinelearning vowpal-wabbit grid-search hyperparameter-tuning random-search optimization-algorithms

Updated Apr 11, 2018
Scala

romainkp / stremr

Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data

machine-learning tmle survival grid-search propensity-scores censoring-events ipw-msm tuning-parameters targeted-learning time-varying-confounding

Updated Mar 28, 2024
R

neuro-ml / reskit

A library for creating and curating reproducible pipelines for scientific and industrial machine learning

python pipeline reproducible-research scikit-learn grid-search data-preparation reproducible-experiments prepare-data

Updated Jul 20, 2017
Jupyter Notebook

mainkoon81 / Study-09-MachineLearning-A

With some projects to develop "TOOLs" for better Modeling

tools cross-validation recall grid-search f1-score classifier-model test-scores

Updated May 29, 2022
Jupyter Notebook

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