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