All Algorithms implemented in Python

Deep Learning for humans

PyTorch Tutorial for Deep Learning Researchers

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

StarGAN - Official PyTorch Implementation (CVPR 2018)

An arbitrary face-swapping framework on images and videos with one single trained model!

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

GANs with spectral normalization and projection discriminator

A research protocol for deep graph matching.

Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-

a module for 3D semantic segmentation in point clouds.

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

A simple and effective method for detecting out-of-distribution images in neural networks.

i-RevNet Pytorch Code

Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"

Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).

Implementation of Cross-domain Detection via Graph-induced Prototype Alignment (CVPR 2020 Oral).

Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).

The Official PyTorch implementation of "3D Human Action Representation Learning via Cross-View Consistency Pursuit" in CVPR 2021

[CVPR 2021] Bilevel Online Adaptation for Human Mesh Reconstruction

The Official PyTorch implementation of "Learning Multi-View Interactional Skeleton Graph for Action Recognition" in TPAMI 2020