liupei101

liupei101's Stars

• gradio-app/gradio

  Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

  Language:Python30.2k1624.3k2.3k

• vpncn/vpncn.github.io

  2024**翻墙软件VPN推荐以及科学上网避坑，稳定好用。对比SSR机场、蓝灯、V2ray、老王VPN、VPS搭建梯子等科学上网与翻墙软件，**最新科学上网翻墙梯子VPN下载推荐，访问Chatgpt。

  Language:HTML14.5k23201.4k

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Jupyter Notebook8.9k77441891

• pyro-ppl/pyro

  Deep universal probabilistic programming with Python and PyTorch

  Language:Python8.4k2011.1k986

• facebookresearch/fvcore

  Collection of common code that's shared among different research projects in FAIR computer vision team.

  Language:Python1.9k4177226

• ytongbai/LVM

  1.6k1291849

• shaily99/advice

  A repository of links with advice related to grad school applications, research, phd etc

  1.6k251141

• Elegycloud/clash-for-linux-backup

  基于Clash Core 制作的Clash For Linux备份仓库 A Clash For Linux Backup Warehouse Based on Clash Core

  Language:Shell1.5k762652

• dougbrion/pytorch-classification-uncertainty

  This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

  Language:Python3979961

• chaoyi-wu/RadFM

  The official code for "Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data".

  Language:Python29163331

• jamesdolezal/slideflow

  Deep learning library for digital pathology, with both Tensorflow and PyTorch support.

  Language:Python2261719637

• 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:Python22262225

• tsb0601/EMP-SSL

  This repository contains the implementation for the paper "EMP-SSL: Towards Self-Supervised Learning in One Training Epoch."

  Language:Python21861011

• zhaozh10/Awesome-CLIP-in-Medical-Imaging

  A Survey on CLIP in Medical Imaging

  2166213

• mahmoodlab/UNI

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

  Language:Jupyter Notebook21032826

• ENSTA-U2IS-AI/torch-uncertainty

  Open-source framework for uncertainty and deep learning models in PyTorch :seedling:

  Language:Python20372716

• mahmoodlab/CONCH

  A vision-language foundation model for computational pathology - Nature Medicine

  Language:Python1683811

• openmedlab/PathoDuet

  Language:Python165394

• openmedlab/CITE

  [MICCAI'23] Text-guided Foundation Model Adaptation for Pathological Image Classification

  144200

• 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 Notebook13551111

• xmindflow/Awesome-Foundation-Models-in-Medical-Imaging

  A curated list of foundation models for vision and language tasks in medical imaging

  129308

• mahmoodlab/MI-Zero

  Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images - CVPR 2023

  Language:Python79463

• mahmoodlab/TriPath

  Analysis of 3D pathology samples using weakly supervised AI - Cell

  Language:Python72605

• mahmoodlab/SurvPath

  Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction - CVPR 2024

  Language:Python69472

• MembrAI/MIU-VL

  This is a repository for the ICLR2023 accepted paper -- Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study.

  Language:Python58354

• andreped/NoCodeSeg

  🔬 Code-free deep segmentation for computational pathology

  Language:Jupyter Notebook4751015

• liupei101/PseMix

  [IEEE TMI 2024] Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification

  Language:Python24342

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

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

  Language:Python23127

• tatonetti-lab/tcga-path-reports

  TCGA Pathology Reports in Machine Readable Text

  Language:Python233

• lunit-io/ocelot23algo

  OCELOT 2023: Cell Detection from Cell-Tissue Interaction

  Language:Python17537