Popular GitHub Repositories for Hyperparameters Optimization

Library for automatic retraining and continual learning

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

Applying Population Based Training on Generative Adversarial Networks.

This repository contains the implementation of a recurrent neural network (LSTM from keras library) with the purpose of forecasting target time series, given the targets historical records and covariates. The project uses a toy data set, while focusing on the data transformation tasks (pandas dataframes to 3D numpy arrays required by recurrent networks) and on the hyperparameters tuning tasks, taking advantage of keras_tuner package.

A library to build and run HyperOpt Hyper Parameter Optimization Schemes