Python 3.8+ toolbox for submitting jobs to Slurm

POT : Python Optimal Transport

Official PyTorch implementation of our NeurIPS 2022 paper: Weakly Supervised Knowledge Distillation for Whole Slide Image Classification

Official Pytorch Code of Our Paper: Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need

Python client for Baidu Yun (Personal Cloud Storage) 百度云/百度网盘Python客户端

Code release for DynamicTanh (DyT)

Snuffy: Efficient Whole Slide Image Classifier For Efficient and Performant Diagnosis in Pathology Whole Slide Images

Capsule Networks With Residual Pose Routing

This is the official code for PSSCL: A Progressive Sample Selection strategy with Contrastive Loss for Learning with Noisy Labels

Code for IEEE BIBM 2024 paper "MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models"

Implementation of "Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification", (CVPR 2024 Highlight).

AttriMIL for Whole-Slide Pathological Image Analysis

Multi-head Attention-based Deep Multiple Instance Learning

Trusted Multi-view Learning with Label Noise

Implementation of Deep Multiple Instance Learning algorithms in pytorch.

Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification

Code for paper: DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification [ECCV 2024]

[ECCV'24] cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process

The code of 《M4: Multi-Granularity Multi-Gate Mixture of Experts Network for Multiple Instance Learning in Histopathology Image Analysis》

BIDFC: Weakly Contrastive Learning via Batch Instance Discrimination and Feature Clustering (Core Code)

code of KDD2025 Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning

Sm: enhanced localization in Multiple Instance Learning for medical imaging classification (NeurIPS 2024)

A Multi-Scale Cross-Attention Convolutional Fusion Model for Cancer Survival Prediction

Code of paper "A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images"