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

Hyperparameter optimization in Julia.

A scikit-learn compatible implementation of hyperband

Bayesian Optimization Hyperband Hyperparameter Optimization

Successive Halving and Hyperband in the mlr3 ecosystem

Hyperparameters-Optimization

Survival analysis for Big Data

Cross-validation in Julia

Framework-agnostic wrapper package for local BOHB hyperparameter optimization

AutoML: efficient design of ML hyperparameter optimizers

SPM tools for preprocessing fMRI series: slice time correction for fMRI scans using Simultaneous MultiSlice (SMS) / MultiBand / HyperBand and echo combination for Multi Echo EPI

Multiclass classification model of images built on artificial neural network, utilizing transfer learning, i.e., retraining the pre-trained MobileNetV2 network