huashuiyanyuan

scGPT

xTrimoMultimer

vqvae

A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)

1d-tokenizer

This repo contains the code for our paper An Image is Worth 32 Tokens for Reconstruction and Generation

hypothalamus_seg

a tool to segment the hypothalamus and associated subunits on T1-weighted MRI scans

PUMIT

DiT-3D

🔥🔥🔥Official Codebase of "DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation"

mar

PyTorch implementation of MAR+DiffLoss https://arxiv.org/abs/2406.11838

SelfMedMAE

Code for ISBI 2023 paper "Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation"

mae_st

Official Open Source code for "Masked Autoencoders As Spatiotemporal Learners"

Eden

[CVPR 2024] Official PyTorch Implementation for Adam

LocalMIM

[CVPR 2023 Highlight] Masked Image Modeling with Local Multi-Scale Reconstruction

Gmim

Diabetes-Prediction-Using-Machine-Learning

Check the full research paper: https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/htl2.12039

Diffusion-Representation-Learning-Survey-Taxonomy

MIM-Med3D

A repo for Masked Image Modeling for 3D Medical Images

Awesome-Diffusion-Models-in-Medical-Imaging

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

VLM_survey

Collection of AWESOME vision-language models for vision tasks

Awesome-Foundation-Models-for-Advancing-Healthcare

We present a comprehensive and deep review of the HFM in challenges, opportunities, and future directions. The released paper: https://arxiv.org/abs/2404.03264

SSL

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

soda

Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"

soda

Official repository for "SODA: Bottleneck Diffusion Models for Representation Learning"

VQGAN-pytorch

Pytorch implementation of VQGAN (Taming Transformers for High-Resolution Image Synthesis) (https://arxiv.org/pdf/2012.09841.pdf)

SACD

A cross-modal distillation method based on infrared video and EEG signals

Graph-Matching-Networks

PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structured Objects (GMN, ICML 2019).

EISNet

[ECCV 2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization

CCL

PyTorch Implementation on Paper [CVPR2021]Distilling Audio-Visual Knowledge by Compositional Contrastive Learning

MI_inverse_inference

Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference

MedSAM

Segment Anything in Medical Images