xiphixiongfei's repositories
Deep-Learning
code for
annotated-transformer
An annotated implementation of the Transformer paper.
Awesome-Diffusion-Models-in-Medical-Imaging
Diffusion Models in Medical Imaging
Awesome-U-Net
Official repo for Medical Image Segmentation Review: The success of U-Net
Chinese-CLIP
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
CVPR2023-Paper-Code-Interpretation
cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。
latex_paper_writing_tips
Tips for Writing a Research Paper using LaTeX
MedicalNet
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
missing-semester-cn.github.io
the CS missing semester Chinese version
ModelsGenesis
Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
pytorch-tutorials
PyTorch tutorials.
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
STU-Net
Largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations), up until April 2023.
Swin-Unet
The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
thuthesis
LaTeX Thesis Template for Tsinghua University
UNet-family
Paper and implementation of UNet-related model.
UNetPlusPlus
Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018
UNeXt-pytorch
Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022
vision
Datasets, Transforms and Models specific to Computer Vision
xiphixiongfei
Config files for my GitHub profile.