Visual Med-Alpaca is an open-source, multi-modal foundation model designed specifically for the biomedical domain, built on the LLaMa-7B.

Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning - CVPR 2023

Graph-based Representation for Image based on Granular-ball

paper collections in database/distributed system/operating system/crypto/arch/security&privacy

A new codebase of Scene Graph Generation based on maskrcnn-benchmark. A Pytorch implementation of the CVPR 2020 paper "Unbiased Scene Graph Generation from Biased Training"

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

Official Keras&PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

Package for automatic liver segmentation in CT using a trained deep learning model (model included!)

Support Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuN…

Highlevel framework for starting Deep Learning projects (lightweight, flexible, easy to extend)

[CVPR 2019] CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency

Code for training a 3DUnet for Brain tumour segmentation from Brats dataset; for feature extraction from the segmented volumes and for survival prediction.

Implementation of Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation

Official implementation of Fixed-Point GAN - ICCV 2019

This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes

This is a copy of package for medical image synthesis work with LRes-ResUnet and GAN (wgan-gp) in pytorch framework

abdominal multi-organ segmentation using pytorch

Openreview.net的爬虫

Brats segmentation pytorch

Brain tumor segmentation using fully-convolutional deep neural networks.

适合中文的简历模板收集（LaTeX，HTML/JS and so on）

📝 My resume / 我的简历

Benchmarks on NIH Chest X-ray 14 dataset

A shallow cnn for classifying X-Ray images

HackerEarth DeepLearning Challenge for Classifying Chest X-ray images from NIH Dataset