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apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

bcnn

3D Bayesian Convolutional Neural Network (BCNN) for Credible Geometric Uncertainty. Code for the paper: https://arxiv.org/abs/1910.10793

c-minhash

Simple and fast MinHash implementation in C with Python wrapper

deep-vessel

Fork of https://kgpml.github.io/Deep-Vessel/ with minimal changes to run under Python 3 and TensorFlow 1.4

deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

evaluation-2021

Evaluation code for the PhysioNet/CinC Challenge 2021

generative_inpainting

Generative Image Inpainting with Contextual Attention, CVPR 2018

gglib

A GUI library for multimedia applications

glove-python

Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/

imaginaire

NVIDIA PyTorch GAN library with distributed and mixed precision support

m3inference

A deep learning system for demographic inference (gender, age, and individual/person) that was trained on massive Twitter dataset using profile images, screen names, names, and biographies

mdn

Mixture density network implemented in PyTorch.

physionetchallenges.github.io

PhysioNet/Computing in Cardiology Challenges

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

psadda.github.io

pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-tensor-decompositions

PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.

pytorch_bayesian_unet

Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)

recycle-gan

Unsupervised Video Retargeting (e.g. face to face, flower to flower, clouds and winds, sunrise and sunset)

ruby-stemmer

Expose libstemmer_c to Ruby

ugatit-pytorch

Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

ysmsog