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albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

cjy_github

cv-ssl-mis

Exploring CNN and ViT for Semi-Supervised Medical Image Segmentation

dalle2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

git

gnn-algorithms

图神经网络相关算法详述及实现

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

learn-files

学习资源，包含各种书籍、链接等

massl-segmentation-framework

Multi-task Attention-based Semi-supervised Learning framework for image segmentation

master_thesis

Deep learning code using in my master thesis on semantic segmentation of biomedical images using Graph convolutional neural network

medicalzoopytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

medsam

Segment Anything in Medical Images

miccai-opensourcepapers

MICCAI 2020 Open Source Papers

miscnn

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

nnunet

notebooks

Jupyter notebooks for CellProfiler and friends

paper-reading

深度学习经典、新论文逐段精读

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

random-survival-forest

A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.

segvol

The official code for "SegVol: Universal and Interactive Volumetric Medical Image Segmentation".

semantic-segmentation-pytorch

PyTorch implementation for Semantic Segmentation, include FCN, U-Net, SegNet, GCN, PSPNet, Deeplabv3, Deeplabv3+, Mask R-CNN, DUC, GoogleNet, and more dataset

slideseg

A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.

ssl4mis

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

tcga_segmentation

Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024

transbts

This repo provides the official code for TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/pdf/2103.04430.pdf).

unet_brain_tumor_segmentation

Deep learning Brain tumor segmentation, BRATS2019