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medigan-cxr-mg

medigan - A Python Library For Sharing Synthetic Biomedical Image Generators.

medpy

Medical image processing in Python

medxgan

Code for EE433 medXGAN project.

miseval

a metric library for Medical Image Segmentation EVALuation

moa-transformer

motion-planning

Books and Papers（mostly about UAV and CPP problem）

movierecommendation

UserCF和ItemCF协同过滤推荐算法的实现

nndet2

ood_gen-chest_xray

Out-of-Distribution Generalization of Chest X-ray Using Risk Extrapolation

openmixup

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

openmmlabcourse

OpenMMLab course index and materials

pm_tb_classification

pm_tb_classification-main

pm_tb_cls

pm and tb classification with detectron2

protopnet

This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).

pylon

Official implementation of Pyramid Localization Network (PYLON).

pytorch-camp

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

repaint

RePaint: Inpainting using Denoising Diffusion Probabilistic Models

reproduce-chexnet

Reproduce CheXNet

rpsalweaklydet

Code for paper: "Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification"

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

segmentation_models.pytorch_new

add_new_metrics

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

supcontrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

swin-unet

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

swint_detectron2

tb-attribute-weak-localization

tb detection