Starred repositories
[AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients
Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology and radiology, reaching state-of-the-art performance with pr…
TPAMI2023 & CVPR2022 - Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning & Learn From Others and Be Yourself in Heterogeneous Federated Learning
Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)
Repo for federated learning for diabetic retinopathy classification and microvasculature segmentation in optical coherence tomography data.
This repository provides a comprehensive collection of papers focused on Multimodal Federated Learning (MMFL).
Memory-aware curriculum federated learning for breast cancer classification. Computer Methods and Programs in Biomedicine.
This paper is currently under review by IEEE TCSVT, and the diffusion framework of the FedDiff algorithm part will be disclosed.
The BERT-based Protein Sequence Generator is a model that utilizes the capabilities of BERT (Bidirectional Encoder Representations from Transformers) to generate protein sequences. It has been desi…
Deep sequence models for protein classification
EnsembleFam: Towards a more accurate protein function prediction in twilight zone
该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖:kaggle, 阿里天池,华为云大赛校园赛,百度aistudio,和鲸社区,datafountain等
This repository contains a notebook of the competitions I participated in on kaggle
This is the official code repository for "MedMamba: Vision Mamba for Medical Image Classification"
A package to predict protein inter-residue geometries from sequence data
Code of our JC paper: "Structure-aware protein solubility prediction from sequence through graph convolutional network and predicted contact map"
Protein sequence classification with self-supervised pretraining
This is the repository for PIPR. This repository contains the source code and links to some datasets used in the ISMB/ECCB-2019 paper "Multifaceted Protein-Protein Interaction Prediction Based on S…
PyTorch implementation of DeepFam: deep learning based alignment-free method for protein family modeling and prediction (2018 ISMB)