hellodfan

HistoBistro

Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)

CHIEF

Clinical Histopathology Imaging Evaluation Foundation Model

STimage-1K4M

rnaflow

RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching

pathology-hooknet-tls

prov-gigapath

Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data

Tangram

Spatial alignment of single cell transcriptomic data.

EGN

Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction

pathology-whole-slide-data

A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.

UNI

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

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.

ADer

ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and approaches.

ProteinMPNN

Code for the ProteinMPNN paper

MambaAD

Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.

MGM

Official repo for "Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models"

Generative-Foundation-AI-Assistant-for-Pathology

Kaggle-PANDA-1st-place-solution

1st place solution for the Kaggle PANDA Challenge

RRT-MIL

[CVPR 2024] Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology

DDAD

AdvMIL

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

FastRecon

HVQ-Trans

Code for "Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection" published in NeurIPS 2023

UCAD

[AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.

DMAD

Official code for "Diversity-Measurable Anomaly Detection", CVPR 2023 by Wenrui Liu, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen.

AnomalyCLIP

Official implementation for AnomalyCLIP (ICLR 2024)

STPM_anomaly_detection

Unofficial pytorch implementation of Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection

ACMIL

Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)

PyramidFlow

[CVPR 2023] PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow

ICIAR2018

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

TIAger