lithostark

beta-tcvae

code for "Isolating Sources of Disentanglement in Variational Autoencoders".

FactorVAE

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

joint-vae

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:

InfoMaxVAE

InfoMax-VAE pytorch implementation

Stein-variational-samplers

Python and MATLAB code for Stein Variational sampling methods

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

stacked_capsule_autoencoders

bayes-by-backprop

PyTorch implementation of "Weight Uncertainty in Neural Networks"

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

WideResNet-pytorch

Wide Residual Networks (WideResNets) in PyTorch

Matrix-Capsules-EM-PyTorch

A PyTorch Implementation of Matrix Capsules with EM Routing

google-research

Google Research

semi-supervised-learning-pytorch

Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch

temporal-ensembling

PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning