Stars
Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
A GUI client for Windows, support Xray core and v2fly core and others
[TMI2019] Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT
[CVPR 2024 Highlight🔥] Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding
Program for the analysis and visualization of whole-slide images in digital pathology
[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions
PyTorch reimplementation of FlexiViT: One Model for All Patch Sizes
Hackable and optimized Transformers building blocks, supporting a composable construction.
Towards a general-purpose foundation model for computational pathology - Nature Medicine
PyTorch code and models for the DINOv2 self-supervised learning method.
Convolutional neural networks for extracting a "deep stroma score" from histological images of human cancer
DAS-MIL: Distilling Across Scales for MILClassification of Histological WSIs
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 ex…
lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch
RLogist = RL (reinforcement learning) + Pathologist
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
Image-to-Image Translation in PyTorch
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
High-Resolution Image Synthesis with Latent Diffusion Models
Few-Shot Diffusion Models
Denoising Diffusion Probabilistic Models