Customer-Churn-HyperTuned-NeuralNetwork-PyTorch

A hyperparameter optimization framework

Automated Machine Learning with scikit-learn

A curated list of automated machine learning papers, articles, tutorials, slides and projects

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

A Hyperparameter Tuning Library for Keras

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

?️ ?️ ?PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Hyperparameter Experiments with TensorFlow and Keras