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pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-to-javascript-with-onnx-js

Run PyTorch models in the browser using ONNX.js

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

pytorch3d-customized

2020_03_30_Pytorch3dTexturemap

pytorchvideocompression

PyTorch implementation and benchmark of Video Compression

pytorch_geometric

Graph Neural Network Library for PyTorch

raft

repaint

Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022

rnn-walkthrough

rotationcontinuity

Coder for "On the Continuity of Rotation Representations"

semi-supervised-pytorch

Implementations of various VAE-based semi-supervised and generative models in PyTorch

sim-3d-super-res

Project page for Simulation 3D Super Resolution

spherical-harmonic-lighting

SH lighting in python/C++

srec

PyTorch Implementation of "Lossless Image Compression through Super-Resolution"

stf

Pytorch implementation of the paper "The Devil Is in the Details: Window-based Attention for Image Compression".

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

swin-unet

The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

sympwebsite

taming-transformers

Taming Transformers for High-Resolution Image Synthesis

topodiff

Code, technical details and links to datasets and trained models for TopoDiff

topopt

A Python Library for Topology Optimization

topy

Topology Optimization using Python

vae-gan

Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"

vaegan-pytorch

VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.

vit-pytorch

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

vq-vae

Minimalist implementation of VQ-VAE in Pytorch

vq-vae-2-pytorch

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

vq-vae_withpixelcnnprior

Implementation of Vector Quantised VAE (VQ-VAE) with PixelCNN prior in Tensorflow.