Antrn's repositories
Federated_Generative_Learning
This is the code for "Federated Generative Learning with Foundation Models"
G2G
This is the Official PyTorch implemention of our ICASSP2024 paper "G2G: Generalized Learning by Cross-Domain Knowledge Transfer for Federated Domain Generalization".
test
test my web page
FedRich
Pytorch implementation for FedRich(FedRich: Towards Efficient Federated Learning for Heterogeneous Clients Using Heuristic Scheduling).
federated-learning
A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561
fedatt-main
forked from [linjian-tech/fedatt](https://github.com/linjian-tech/fedatt)
AttentionDeepMIL
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
Siamese-pytorch
这是一个孪生神经网络（Siamese network）的库，可进行图片的相似性比较。
FedKD
Codes for FedKD
PytorchResearchCodesReading
An organized list of open source code for some research papers I have read.
fedatt
Federated learning with attention mechanism (CV)
lihang-code
《统计学习方法》的代码实现
Data-visualization
Springboot+Mybatis+Echarts+Mysql+Thymeleaf
Nasty-Teacher
[ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang
HTTP_SERVER
基于python实现http服务器，支持文件夹/文件上传和下载
ChuanhuChatGPT
GUI for ChatGPT API
JevenM
Config files for my GitHub profile.
CDKT_FL
联邦知识蒸馏
datav.jiaminghi.com
DataV组件库文档
Train_Custom_Dataset
标注自己的数据集，训练、评估、测试、部署自己的人工智能算法
easyFL
An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).
pFedMe
Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
FedU_FMTL
This repo implements FedU, a multitask learning framework for federated learning
JevenM.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes