Raymvp

Raymvp's Stars

• bnsreenu/python_for_microscopists

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

  Language:Jupyter Notebook4k108742.4k

• mahmoodlab/CLAM

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

  Language:Python1.1k21253362

• jvpoulos/causal-ml

  Must-read papers and resources related to causal inference and machine (deep) learning

  670270125

• binli123/dsmil-wsi

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

  Language:Python36909388

• szc19990412/TransMIL

  TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification

  Language:Python35244873

• KSESEU/LLMPapers

  Papers & Works for large languange models (ChatGPT, GPT-3, Codex etc.).

  Language:TeX3039128

• mahmoodlab/Patch-GCN

  Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

  Language:Python12353429

• nuster1128/Awesome-Causal-Papers

  We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)

  67208

• uta-smile/DeepAttnMISL

  Contains codes of DeepAttnMISL in MEDIA'20

  Language:Python577619

• Stephenfang51/command_for_deeplearning

  整合一份使用使用Linux 以及 conda环境等做深度学习 常使用到的指令

  49109

• liupei101/Pipeline-Processing-TCGA-Slides-for-MIL

  This repo provides the pipeline of processing TCGA whole-slide images for downstream multiple instance learning.

  Language:Python46139

• rolsheng/MM-VUFM4DS

  A systematic survey of multi-modal and multi-task visual understanding foundation models for driving scenarios

  46512

• shi-ang/SurvivalAnalysisPapers

  A list of papers/resources in Survival Analysis that I have read or would like to read.

  37405

• liupei101/AdvMIL

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

  Language:Python302610

• collinprather/drsa

  An adapted PyTorch implementation of a Deep Recurrent Survival Analysis model.

  Language:Jupyter Notebook21244

• WeijiaZhang24/TEDVAE

  Code for TEDVAE, a VAE-based treatment effect estimation algorithm.

  Language:Python20249

• WeijiaZhang24/CausalMIL

  Multi-Instance Causal Representation Learning

  Language:Python15110

• WeijiaZhang24/DCSurvival

  Language:Jupyter Notebook8100

• tangw-seu/DEMIPL

  Language:Python7101

• jacobluber/uta_cancer_search

  Language:Python6214

• MrHuff/Sumo-Net

  SuMo-net

  Language:Jupyter Notebook6221

• tangw-seu/MIPLGP

  Language:Python50

• WeijiaZhang24/MIVAE

  Language:Python5102

• chnpmy/snake

  botzone的snake

  Language:C++4204

• yutingng/gen-AC

  Generative Archimedean Copulas

  Language:Jupyter Notebook4

• flaviovdf/copulae

  Code for training non-parametric copula networks

  Language:Jupyter Notebook310

• yutingng/gen-AX

  Inference and Sampling for Archimax Copulas

  Language:Jupyter Notebook2

• dli-stats/bvic

  Language:R110

• FutureComputing4AI/AlgorithmicUnitTestsMIL

  Language:Jupyter Notebook1110

• Raymvp/Pipeline-Processing-TCGA-Slides-for-MIL

  This repo provides an exhaustive pipeline of processing TCGA whole-slide images for downstream multiple instance learning.

  Language:Python1000