limaosen0
A phD. candidate in SJTU, 2017-. My advisors are Prof. Ya Zhang and Dr. Siheng Chen. My study focuses on machine learning on graphs.
Shanghai Jiao Tong UniversityMinhang, Shanghai, China
Pinned Repositories
AS-GCN
The model architecture of AS-GCN (for human action recognition)
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
DMGNN
The implementation of DMGNN
GXN
Graph Cross Network
jt-vae
Junction Tree Variational AutoEncoder Implementation Attempt
NRI
Neural relational inference for interacting systems - pytorch
Paper-Talk
The interesting papers read are shared here.
Sample-from-several-distribution
Learn some basic distributions and try to sample an array of samples from the distributions, including Gaussian, Beta, Gamma and Laplace.
The-assignment-of-course-Neural-Network-Principles-and-Application
This is the assignment code of our course in Shanghai Jiao Tong University, which is called Neural Network Principles and Application. There are several sub-assignments, so that I would upgrade the code once I finished each one.
Variational-Graph-Auto-Encoders
This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.
limaosen0's Repositories
limaosen0/AS-GCN
The model architecture of AS-GCN (for human action recognition)
limaosen0/DMGNN
The implementation of DMGNN
limaosen0/Variational-Graph-Auto-Encoders
This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.
limaosen0/GXN
Graph Cross Network
limaosen0/Sample-from-several-distribution
Learn some basic distributions and try to sample an array of samples from the distributions, including Gaussian, Beta, Gamma and Laplace.
limaosen0/Paper-Talk
The interesting papers read are shared here.
limaosen0/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
limaosen0/NRI
Neural relational inference for interacting systems - pytorch
limaosen0/The-assignment-of-course-Neural-Network-Principles-and-Application
This is the assignment code of our course in Shanghai Jiao Tong University, which is called Neural Network Principles and Application. There are several sub-assignments, so that I would upgrade the code once I finished each one.
limaosen0/jt-vae
Junction Tree Variational AutoEncoder Implementation Attempt
limaosen0/limaosen0.github.io
BY Blog ->
limaosen0/Graph-U-Nets
Pytorch implementation of Graph U-Nets (ICML19)
limaosen0/hello-world
It is my first repository on github for a programming beginning.
limaosen0/MultiObjectiveOptimization
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
limaosen0/NMMP
Code for "Collaborative Motion Prediction via Neural Motion Message Passing", CVPR 2020 Oral