Pinned Repositories
API2VecPlus
API2Vec++: Boosting API Sequence Representation for Malware Detection and Classification
Attention-Based-BiLSTM-relation-extraction
Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Awesome-Federated-Learning
Federated Learning Library: https://fedml.ai
Awesome-Federated-Machine-Learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
FedLab-benchmarks
Standard federated learning implementations in FedLab and FL benchmarks.
fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
NTU_ML2017_Hung-yi-Lee_HW
NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业
PFL-Non-IID
The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage of the Non-IID data to learn the personalized model for each user. Thanks to @Stonesjtu, this platform can also record the GPU memory usage for the model.
PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
yyyjn's Repositories
yyyjn/API2VecPlus
API2Vec++: Boosting API Sequence Representation for Malware Detection and Classification
yyyjn/Attention-Based-BiLSTM-relation-extraction
Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)
yyyjn/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
yyyjn/Awesome-Federated-Learning
Federated Learning Library: https://fedml.ai
yyyjn/Awesome-Federated-Machine-Learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
yyyjn/FedLab-benchmarks
Standard federated learning implementations in FedLab and FL benchmarks.
yyyjn/fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
yyyjn/NTU_ML2017_Hung-yi-Lee_HW
NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业
yyyjn/PFL-Non-IID
The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage of the Non-IID data to learn the personalized model for each user. Thanks to @Stonesjtu, this platform can also record the GPU memory usage for the model.
yyyjn/PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
yyyjn/PASSRnet
[CVPR 2019] Learning Parallax Attention for Stereo Image Super-Resolution
yyyjn/sp17-materials
Publicly released assignments and materials for Data 100 Spring 17
yyyjn/SRNTT
Image Super-Resolution by Neural Texture Transfer
yyyjn/yyyjn