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hrzhu's Projects

alphapose icon alphapose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

blueoil icon blueoil

Bring Deep Learning to small devices

coco-analyze icon coco-analyze

A wrapper of the COCOeval class for extended keypoint error estimation analysis.

cutout icon cutout

2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

d2l-pytorch icon d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

darknet icon darknet

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

deep-high-resolution-net.pytorch icon deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deepfit icon deepfit

Code for the paper "DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares"

deeplizard-pytorch- icon deeplizard-pytorch-

自己总结的DeepLizard的pytorch神经网络编程系列视频的笔记(非官方)

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2 icon detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

detr icon detr

End-to-End Object Detection with Transformers

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dropblock icon dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

fcgf icon fcgf

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

fcos icon fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

flownet2-pytorch icon flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

git-lfs icon git-lfs

Git extension for versioning large files

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