Popular GitHub Repositories for Tuning Parameters

A Julia machine learning framework

A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.

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

Easy Hyper Parameter Optimization with mlr and mlrMBO.

Optimizing-Hyperparameters-Using-Grid-Search-Deep-Learning

Deep Learning Nanodegree Project : To generate Simpsons TV scripts using part of the Simpsons data-set of scripts from 27 seasons.

Predicting building heating and cooling loads from it's architectural features using ML and utilizing MLflow for experiment tracking.