Maosen Li's repositories
Variational-Graph-Auto-Encoders
This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.
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.
Paper-Talk
The interesting papers read are shared here.
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
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.github.io
BY Blog ->
Graph-U-Nets
Pytorch implementation of Graph U-Nets (ICML19)
hello-world
It is my first repository on github for a programming beginning.
MultiObjectiveOptimization
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
NMMP
Code for "Collaborative Motion Prediction via Neural Motion Message Passing", CVPR 2020 Oral