johnny990628

johnny990628's Stars

• DevToys-app/DevToys

  A Swiss Army knife for developers.

  Language:C#26.6k1467981.4k

• smartcontractkit/full-blockchain-solidity-course-py

  Ultimate Solidity, Blockchain, and Smart Contract - Beginner to Expert Full Course | Python Edition

  10.7k2485002.9k

• DevToys-app/DevToysMac

  DevToys For mac

  Language:Swift9.2k69116359

• facebookresearch/mae

  PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

  Language:Python7.1k571891.2k

• facebookresearch/dino

  PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

  Language:Python6.2k67247901

• MouseLand/cellpose

  a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

  Language:Jupyter Notebook1.3k29862376

• DWCTOD/CVPR2024-Papers-with-Code-Demo

  收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, etc., and welcome recommendations from everyone!

  1.2k2628144

• livinamuk/Hell2024

  Language:C++1.2k38949

• qupath/qupath

  QuPath - Bioimage analysis & digital pathology

  Language:Java1k56793275

• PoisonAlien/maftools

  Summarize, Analyze and Visualize MAF files from TCGA or in-house studies.

  Language:R43822935217

• hogan-tech/leetcode-solution

  Explore diverse LeetCode solutions in Python, C++, JavaScript, SQL, and TypeScript. Ideal for interview prep, learning, and code practice in multiple programming languages.

  Language:Python4307037

• binli123/dsmil-wsi

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

  Language:Python34609185

• owkin/HistoSSLscaling

  Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., MedRxiv (2023). We publicly release Phikon 🚀

  Language:Jupyter Notebook14051111

• vkola-lab/tmi2022

  A graph-transformer for whole slide image classification

  Language:Python13251934

• wisdomikezogwo/quilt1m

  [NeurIPS 2023 Oral] Quilt-1M: One Million Image-Text Pairs for Histopathology.

  Language:Python1265278

• hrzhang1123/DTFD-MIL

  Language:Python12521820

• MarvinLer/tcga_segmentation

  Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024

  Language:Python11921534

• Xiyue-Wang/RetCCL

  Language:Python92388

• pyaf/DenseNet-MURA-PyTorch

  Implementation of DenseNet model on Standford's MURA dataset using PyTorch

  Language:Python74101533

• samson6460/tf_keras_gradcamplusplus

  tensorflow.keras implementation of gradcam and gradcam++

  Language:Python41636

• Kangningthu/ItS2CLR

  Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning (CVPR 2023)

  Language:Python39364

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

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

  Language:Python35137

• miccaiif/DGMIL

  Official PyTorch implementation of our MICCAI 2022 paper: DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification.

  Language:Python32393

• clemsgrs/hs2p

  Histopathology Slides Preprocessing Pipeline

  Language:Python30167

• liupei101/AdvMIL

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

  Language:Python302510

• wwu98934/MuRCL

  MuRCL: Multi-instance Reinforcement Contrastive Learning for Whole Slide Image Classification

  Language:Python243

• Zero-We/BCL

  A bayesian collaborative learning framework for whole-slide image classification

  Language:Python24274

• alonalj/PathoMCH

  Language:Python207

• computationalpathologygroup/hvit

  Hierarchical Vision Transformers for Multi-Scale Prostate Cancer Grading in Whole Slide Images

  Language:Python7000

• SBU-BMI/deep_survival_analysis

  Survival analysis with deep learning

  Language:Python31211