qingxin-meng's repositories
Matrix-Factorization-for-Recommender-System
This shows a SVD example for recommender system, I run this algorithm on MovieLens dataset
ACML2016_BNMC
Source code for Bayesian Nonparametric Multi-label Classification ACML 2016
ContinuousTimeMarkovModel
Continuous-time Markov model with discrete observations
ConvMF
Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)
CT-HMM
Continuous-time hidden Markov modeling.
ctmc
Continous Time Markov Chain
HMMs
Continuous-time Hidden Markov Model
photinia
Build deep learning models quickly for scientists in an object-oriented way.
Salary-Benchmark-With-Matrix-Factorization
predicting salary scales by matrix factorization with laplacian regularizers
ctr
Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend items to users based on item content and other users' ratings.
git_tutorial
git tutorial
graphnn
Training computational graph on top of structured data (string, graph, etc)
Lhy_Machine_Learning
李宏毅2021/2022/2023春季机器学习课程课件及作业
ml-road
Machine Learning Resources, Practice and Research
neurawkes
Source code of The Neural Hawkes Process
OpenNE
An Open-Source Package for Network Embedding (NE)
qingxin-meng.github.io
homepage
scholar
Neural models for documents with metadata
TNRDMTL
[Code] Trace Norm Regularised Deep Multi-Task Learning
variational-text-tensorflow
TensorFlow implementation of Neural Variational Inference for Text Processing