xinguanxi

fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

prepare_detection_dataset

convert dataset to coco/voc format

mmfashion

Open-source toolbox for visual fashion analysis based on PyTorch

YOLOv3-complete-pruning

提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。

ICCV19-GluonCV

Tutorial Materials for ICCV19

Gaussian_YOLOv3

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

imgclsmob

Sandbox for training deep learning networks

retinaface

Reimplement RetinaFace use C++ and TensorRT

Bi-box_Regression

Pytorch implementation of Bi-box Regression for Pedestrian Detection and Occlusion Estimation (ECCV2018)

LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices

A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......

ShuffleNet-Series

Efficient-PyTorch

My best practice of training large dataset using PyTorch.

NumPyCNN

Building Convolutional Neural Networks From Scratch using NumPy

pytorch-distributed-example

Awesome-Pruning

A curated list of neural network pruning resources.

EAST

This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.

pytorch_Realtime_Multi-Person_Pose_Estimation

CRNN_Chinese_Characters_Rec

(CRNN) Chinese Characters Recognition.

Lightweight-Segmentation

Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).

mmaction

An open-source toolbox for action understanding based on PyTorch

advanced-mxnet2caffe

Support most of operator which convert mxnet to caffe.

TensorRT

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

pypy_get_pip

pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

TorchSeg

Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

Facial-Expression-Recognition.Pytorch

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

PCB_RPP_for_reID

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

pytorch-video-recognition

PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.