Google Research

A small package to create visualizations of PyTorch execution graphs

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 entr…

Notebooks about Bayesian methods for machine learning

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning

Unsupervised clustering with (Gaussian mixture) VAEs

A PyTorch library for two-sample tests

Variational Adversarial Active Learning (ICCV 2019)

TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER

Examples of using the HSDS Service to Access NREL WIND Toolkit data

An implementation of the paper "Learning to Reweight Examples for Robust Deep Learning" from ICML 2018 with PyTorch and Higher.

Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf

Data analysis and Power Output prediction for a wind farm

A probabalistic model to predict short-term wind power generation given historical wind farm data