hellodfan

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

patchcore-few-shot

Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"

HVTSurv

HVTSurv: Hierarchical Vision Transformer for Patient-level Survival Prediction from Whole Slide Image-AAAI 2023

DSCA

[ESWA 2023] Implementation of DSCA: A Dual-stream Network with Cross-attention on Whole-Slide Image Pyramids for Cancer Prognosis

benchmark-ssl-pathology

Official repository of Benchmarking Self-Supervised Learning on Diverse Pathology Datasets

TransMIL

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

MI-Zero

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

MRAN

Multi-Scale Representation Attention based Deep Multiple Instance Learning for Gigapixel Whole Slide Image Analysis

WSI-finetuning

This is the official repository for our CVPR 2023 paper 'Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification'.

PathProfiler

Pipeline for computational pathology

hidisc

SimpleNet

pytorch-ood

👽 Out-of-Distribution Detection with PyTorch

DatasetCondensation

Dataset Condensation (ICLR21 and ICML21)

ChatPaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

MS-DA-MIL-CNN

Multi-scale Domain-adversarial Multiple Instance Learning CNN (CVPR2020)

IBMIL

CVPR 2023 Highlight

WSI-HGNN

[CVPR'23] Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning

Context-Cluster

[ICLR 2023 Oral] Image as Set of Points

HGCN

deep-histopath

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

dataset-distillation

Open-source code for paper "Dataset Distillation"

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

BCL

A bayesian collaborative learning framework for whole-slide image classification

CodeFormer

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

Imbalanced-Learning

Imbalanced learning tool for imbalanced recognition and segmentation

LibAUC

LibAUC: A Deep Learning Library for X-Risk Optimization

Mixed_supervision

MICCAI2022: Multiple Instance Learning with Mixed Supervision in Gleason Grading.

seg-gini

SEGmentation using Graphs with Inexact aNd Incomplete labels

med-seg-diff-pytorch

Implementation of MedSegDiff in Pytorch - SOTA medical segmentation using DDPM and filtering of features in fourier space