HaiyuGong

HaiyuGong's Stars

• bmild/nerf

  Code release for NeRF (Neural Radiance Fields)

  Language:Jupyter Notebook10.3k1.4k

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python24.4k8.1k

• TommyZihao/zihao_course

  同济子豪兄的公开课

  1.6k187

• nadiabrancati/ABNN-WSI-Classification

  Code to reproduce results of the Gigapixel Histopathological Image Analysis Using Attention-Based Neural Networks paper.

  Language:Python101

• oeminaga/AI_PCA_GRADE

  Artificial Intelligence Unravels Interpretable Malignancy Grades of Prostate Cancer on Histology Images

  Language:Jupyter Notebook1

• weiaicunzai/pytorch-cifar100

  Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

  Language:Python4.5k1.2k

• Biooptics2021/PathFinder

  Language:Jupyter Notebook504

• trinhvg/JCO_Learning-pytorch

  Medical Image Analysis (MEDIA_2021) paper: Joint Categorical and Ordinal Learning for Cancer Grading in Pathology Images

  Language:Python124

• eiriniar/gleason_CNN

  Language:Jupyter Notebook3917

• KatherLab/HIA

  Histopathology Image Analysis

  Language:Python9317

• Lornatang/RCAN-PyTorch

  PyTorch implements `Image Super-Resolution Using Very Deep Residual Channel Attention Networks` paper.

  Language:Python111

• WonderLandxD/opensdpc

  Python library for processing whole slide images (WSIs) in sdpc format

  Language:Jupyter Notebook519

• academicpages/academicpages.github.io

  Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.

  Language:HTML13.7k46.4k

• PathologyFoundation/plip

  Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

  Language:Python31530

• chenyuntc/simple-faster-rcnn-pytorch

  A simplified implemention of Faster R-CNN that replicate performance from origin paper

  Language:Jupyter Notebook4k1.1k

• CmrxRecon/CMRxRecon

  Code for the Cardiac MRI Reconstruction Challenge (CMRxRecon)

  Language:Jupyter Notebook6213

• akshayballal95/reinforcement_learning_maze

  Language:Python4

• facebookresearch/detectron2

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

  Language:Python31.6k7.6k

• matterport/Mask_RCNN

  Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

  Language:Python25k11.7k

• deroneriksson/python-wsi-preprocessing

  Python Whole Slide Image Preprocessing

  Language:Python28592

• erikdelange/Reinforcement-Learning-Maze

  Various ways to learn a computer to escape from a maze. From random walk to a simple neural network.

  Language:Python10029

• mahmoodlab/CLAM

  Open source tools for computational pathology - Nature BME

  Language:Python1.3k404

• xzluo97/Diffeomorphic-demons

  TensorFlow implementation of the diffeomorphic demons algorithm for medical image registration

  Language:Python216

• victoresque/pytorch-template

  PyTorch deep learning projects made easy.

  Language:Python4.9k1.1k

• MIC-DKFZ/nnUNet

  Language:Python6.5k1.9k

• DigitalSlideArchive/digital_slide_archive

  The official deployment of the Digital Slide Archive and HistomicsTK.

  Language:Python11854

• SHIDCenter/PathoNet

  Language:Python3511

• SarderLab/SKIE-Automated-neuroendocrine-tumor-grading

  Language:Python4

• HiLab-git/MyoPS2020

  Language:Python177

• albumentations-team/albumentations

  Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

  Language:Python14.7k1.7k