A collection of resources on personalized image generation.

Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/1610.05755)

Self-supervised federated learning for medical imaging - IEEE TMI

Fully open reproduction of DeepSeek-R1

User-friendly Desktop Client App for AI Models/LLMs (GPT, Claude, Gemini, Ollama...)

An easy-to-use federated learning platform

Mamba-UNet Zoo

Pytorch implementation of "LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation"

[TMI'22] Personalized Retrogress-Resilient Federated Learning Towards Imbalanced Medical Data

SiamAF: Learning Shared Information from ECG and PPG Signals for Robust Atrial Fibrillation Detection

The Cross-modal SleepTransformer is a deep learning model designed for sleep stage classification based on multimodal physiological signals. It utilizes the transformer architecture, and cross-atte…

This project implements several deep learning architectures to classify ECG signals using a combination of Convolutional Neural Networks (CNN), Transformers, and Recurrent Neural Networks (RNN) wit…

Official PyTorch implementation of the paper "MACRO: A Multi-Head Attentional Convolutional Recurrent Network for the Classification of Co-Occurring Diseases in 12-Lead ECGs"

A Combined ResNet-DenseNet Architecture with ResU Blocks (ResU-Dense) for 12-lead ECG Abnormality Classification

The official implementation of the paper "Reconstructing QRS Complex from PPG by Transformed Attentional Neural Networks"

In this project, we discuss and implement the attention mechanism including the self , cross and multi-head attentions from scratch.

Official implement of "CAT: Cross Attention in Vision Transformer".

Official Pytorch implementation of Dual Cross-Attention for Medical Image Segmentation

Officail Implementation for "Cross-Image Attention for Zero-Shot Appearance Transfer"

A simple cross attention that updates both the source and target in one step

Code and data to accompany the camera-ready version of "Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation" in EMNLP 2021

Toward Sleep Apnea Detection with Lightweight Multi-scaled Fusion Network

Pytorch implementation of TPA-GAN & PT-DCN on ADNI （IEEE-JBHI2021）

[NeurIPS 2022] HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions

(BIBM22) This is the official code repository for "MALUNet: A Muti-Attention and Light-weight UNet for Skin Lesion Segmentation".

ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network,…