didibabadi

Patch-GCN

Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

v2rayN

A GUI client for Windows, support Xray core and v2fly core and others

MV-KBC

[TMI2019] Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT

Chat-UniVi

[CVPR 2024 Highlight🔥] Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding

ASAP

Program for the analysis and visualization of whole-slide images in digital pathology

Endo-FM

[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

Deformable-DETR

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Mask2Former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

ViT-Adapter

[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

flexivit

PyTorch reimplementation of FlexiViT: One Model for All Patch Sizes

xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.

UNI

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

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

grok-1

Grok open release

deep-stroma-histology

Convolutional neural networks for extracting a "deep stroma score" from histological images of human cancer

mil4wsi

DAS-MIL: Distilling Across Scales for MILClassification of Histological WSIs

EBVnet

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.

lookahead.pytorch

lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch

RLogist

RLogist = RL (reinforcement learning) + Pathologist

TransMIL

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

AttentionDeepMIL

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

pixel2style2pixel

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework

guided-diffusion

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

few-shot-diffusion-models

Few-Shot Diffusion Models

DDPM

PyTorch DDPM implementation

diffusion

Denoising Diffusion Probabilistic Models