bragilee

mmdetection

OpenMMLab Detection Toolbox and Benchmark

pumpkin-book

《机器学习》（西瓜书）公式详解

examples

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

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

pytorch-template

PyTorch deep learning projects made easy.

pytorch-fid

Compute FID scores with PyTorch.

website

PyTorch-Encoding

A CV toolkit for my papers.

hiddenlayer

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

RCAN

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

semseg

Semantic Segmentation in Pytorch

Efficient-PyTorch

My best practice of training large dataset using PyTorch.

pyskl

A toolbox for skeleton-based action recognition.

disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

Efficient-3DCNNs

PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.

pytorch-goodies

PyTorch Boilerplate For Research

vidaug

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

realtime-action-detection

This repository host the code for real-time action detection paper

FactorVAE

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

HTML4Vision

A simple HTML visualization tool for computer vision research :hammer_and_wrench:

STCNN

Spatiotemporal CNN for Video Object Segmentation

3d-shapes

This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.

disentangling-disentanglement

videogan

PyTorch implementation of VideoGAN for Generating Videos with Scene Dynamics

GAIN

Pytorch implementation of paper: [Tell Me Where to Look: Guided Attention Inference Network](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Tell_Me_Where_CVPR_2018_paper.pdf)

2D-kinectics

Train action classification model based on individual frames

mdgan

official code of CVPR'18 paper "learning to generate time-lapse videos using multi-stage dynamic generative adversarial networks"

linknet-pytorch

Pytorch reimplementation of LinkNet for Scene Graph Generation

conv-vae

Convolutional Variational Autoencoder