zhibaishouheilab

Unet-Segmentation-Pytorch-Nest-of-Unets

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

Image_Segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

Swin-Unet

[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

Advanced_nnUNet

probabilistic_unet

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

maxl

The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

huazhang-cs-books

:books: 华章计算机科学丛书高清扫描

CTSpine1K

A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography

data-single-subject

Single-subject data for the Spine Generic project

data-multi-subject

Multi-subject data for the Spine Generic project

Paper-Reading-Group

List shared papers in our group

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

TransUNet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

StillGAN

Structure and Illumination Constrained GAN forMedical Image Quality Enhancement

HQG-Net

Unsupervised-Semantic-Segmentation

Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

bolei_awesome_posters

CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!

MedViT

MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)

HealthiVert-GAN

HealthiVert-GAN, a novel deep-learning framework designed to generate pseudo-healthy vertebral images. These images simulate the pre-fractured state of vertebrae, offering a potential improvement in diagnosis. The HealthiVert-GAN utilizes a coarse to fine, 2.5D synthesis network based on generative adversarial networks (GAN).

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

YOLO-v5

:art: Pytorch YOLO v5 训练自己的数据集超详细教程！！！ :art: (提供PDF训练教程下载）

YOLOX

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

mmdetection

OpenMMLab Detection Toolbox and Benchmark

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

SPD-Conv

Code for ECML PKDD 2022 paper: No More Strided Convolutions or Pooling: A Novel CNN Architecture for Low-Resolution Images and Small Objects

stylegan3

Official PyTorch implementation of StyleGAN3

generative-inpainting-pytorch

A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

ResViT

Official Implementation of ResViT: Residual Vision Transformers for Multi-modal Medical Image Synthesis