Junnan Yin's Projects
API2Vec++: Boosting API Sequence Representation for Malware Detection and Classification
Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Federated Learning Library: https://fedml.ai
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Standard federated learning implementations in FedLab and FL benchmarks.
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 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业
[CVPR 2019] Learning Parallax Attention for Stereo Image Super-Resolution
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.
Build your neural network easy and fast, 莫烦Python中文教学
Publicly released assignments and materials for Data 100 Spring 17
Image Super-Resolution by Neural Texture Transfer