jwtxwd Goto Github PK

beta-vae

Pytorch implementation of β-VAE

bvckmr

Bayesian varying coefficient kernel machine regression

cgmm

Official Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)

convolutional-vae

minimal implementation of convolutional-variational autoencoders for reference

covid_19

BE8093 Final Project

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

dclgan

Code for Dual Contrastive Learning for Unsupervised Image-to-Image Translation, NTIRE, CVPRW 2021, oral.

domain_adapation_istn

Adversarially training Image and Spatial Transformer Networks to perform Domain Adapation

example1

fed_abide

impelmentation of https://arxiv.org/pdf/2001.05647.pdf

gmnn

Graph Markov Neural Networks

graph-dgmrf

Code for the paper "Scalable Deep Gaussian Markov Random Fields for General Graphs"

inv-rep

Code for Invariant Rep. Without Adversaries (NIPS 2018)

invariance-tutorial

A tutorial on learned non-adversarial invariance in neural networks

papernotes

My personal notes and surveys on DL, CV and NLP papers.

project1

project2

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-fid

Compute FID scores with PyTorch.

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

scanner-inv-pytorch

streetrobberyrate

Prediction of streest robbery rate in Cincinnati

unit

Unsupervised Image-to-Image Translation

vision_transformer