henanjun

dataset

医学影像数据集列表

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

a-PyTorch-Tutorial-to-Image-Captioning

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

ACSConv

[IEEE JBHI] Reinventing 2D Convolutions for 3D Images

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

cs-self-learning

计算机自学指南

CTPelvic1K

da-sac

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation (CVPR 2021)

deit

Official DeiT repository

demosaicnet

A minimal torch implementation of [Gharbi2016]

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。

EasyOCR

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

henanjun

Config files for my GitHub profile.

Image_Processing

Image Processing techniques using OpenCV and Python.

kornia

Open Source Differentiable Computer Vision Library

lungmask

Automated lung segmentation in CT

mmdetection

OpenMMLab Detection Toolbox and Benchmark

nanjunhe.github.io

paper-reading

深度学习经典、新论文逐段精读

pytorch-styleguide

An unofficial styleguide and best practices summary for PyTorch

qcloud-documents

腾讯云官方文档

SciTSR

Table structure recognition dataset of the paper: Complicated Table Structure Recognition

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Swin-Transformer

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

The-C-20-Masterclass-Source-Code

Source code for the C++ 20 Masterclass on udemy

torch-radon

Computational Tomography in PyTorch

U-HVED

Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation

Visualizer

helper tools for attention visualization in deep learning