Example Optuna with MySQL on Docker

Optuna hyperparameter search wrapper

Classifying Audio to Emotion

OptKeras: wrapper around Keras and Optuna for hyperparameter optimization

I was trying to find a good pattern for some problems using pytorch-lightning with tensorboard and optuna.

competition

Analysis of Universities and prediction amount of applications

Machine Learning test scripts in Python developed during research in Masters Degree project. Includes TensorFlow 2, Keras, Optuna, Inception Modules, etc

Testing several hyperparameter optimization techniques.

Machine Learning to predict the condition of water points in Tanzania (multi-class classification)

We will discuss the Hyper Parameter Tuning for different Machine Learning Algorithm

Heavy Drinking Detection using Smartphone Data

A solar radiation prediction model built using XGBoost algorithm & Optuna framework

Hyper Parameter Techniques

Hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process. By contrast, the values of other parameters (typically node weights) are learned. Hyperparameters are crucial as they control the overall…

Pytorch Optuna Implementation for simple Image Recognition Task

LGBM predicting wether a student will get their next question right or wrong.

Xgboost Hyperparameter Tunning Using Optuna

The following repository contains source code for a 100 Day personal machine learning coding challenge. It contains projects that I do as a part of my learning