XiaoXueShengwangrui

XiaoXueShengwangrui's Stars

• liupei101/AdvMIL

  [MedIA 2024] The implementation of AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images

  Language:Python3010

• mahmoodlab/UNI

  Towards a general-purpose foundation model for computational pathology - Nature Medicine

  Language:Jupyter Notebook29638

• mahmoodlab/CLAM

  Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

  Language:Python1k346

• invoker-LL/WSI-finetuning

  This is the official repository for our CVPR 2023 paper 'Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification'.

  Language:Python6914

• THUDM/ChatGLM-6B

  ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

  Language:Python40.4k5.2k

• hrzhang1123/DTFD-MIL

  Language:Python12820

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook46.7k5.5k

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python64k7.9k

• bhanML/label-noise-papers

  An update-to-date list for papers related with label-noise representation learning is here.

  8811

• binli123/dsmil-wsi

  DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

  Language:Python35186

• YashSharma/C2C

  Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.

  Language:Python5912

• median-research-group/LibMTL

  A PyTorch Library for Multi-Task Learning

  Language:Python1.9k182

• LUSSeg/ImageNet-S

  (TPAMI2022) The ImageNet-S benchmark/method for large-scale unsupervised/semi-supervised semantic segmentation.

  Language:Python16411

• vkola-lab/tmi2022

  A graph-transformer for whole slide image classification

  Language:Python13534

• yfzon/DT-MIL

  Language:Python316

• jeya-maria-jose/Medical-Transformer

  Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021

  Language:Python797175

• awslabs/deeplearning-benchmark

  Language:Python11884

• ncoudray/DeepPATH

  Classification of Lung cancer slide images using deep-learning

  Language:Python489211

• Sulam-Group/MIL-pathology

  Language:Jupyter Notebook124

• CapsuleEndoscope/EndoSLAM

  EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner

  Language:Python22546

• d-li14/octconv.pytorch

  PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

  Language:Python29042

• lxtGH/OctaveConv_pytorch

  Pytorch implementation of newly added convolution

  Language:Python58188

• PathologyDataScience/BCSS

  Use this to download all elements of the BCSS dataset described in: Amgad M, Elfandy H, ..., Gutman DA, Cooper LAD. Structured crowdsourcing enables convolutional segmentation of histology images. Bioinformatics. 2019. doi: 10.1093/bioinformatics/btz083

  Language:Python13616

• MedMNIST/MedMNIST

  [pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

  Language:Python1k162

• MSKCC-Computational-Pathology/MIL-nature-medicine-2019

  Language:Python340104

• sbelharbi/wsol-min-max-entropy-interpretability

  Pytorch code for: Min-max Entropy for Weakly Supervised Pointwise Localization

  Language:Python165

• histolab/histolab

  Library for Digital Pathology Image Processing

  Language:Python36356

• AstarLight/Satellite-Segmentation

  Language:Python615233

• Jonas1312/PFA-ScanNet

  PFA-ScanNet: Pyramidal Feature Aggregation With Synergistic Learning for Breast Cancer Metastasis Analysis (Architecture Only Pytorch Implementation).

  Language:Python225

• hszhao/pytorch-classification

  Classification with PyTorch.

  Language:Python12