qingxin-meng Goto Github PK

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

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)

hierarchical-career-path-aware-network

hmms

Continuous-time Hidden Markov Model

lhy_machine_learning

李宏毅2021/2022/2023春季机器学习课程课件及作业

matrix-factorization-for-recommender-system

This shows a SVD example for recommender system, I run this algorithm on MovieLens dataset

ml-road

Machine Learning Resources, Practice and Research

ml_practical_data

multivariatepointprocess

ndp-jsb

neuralpointprocess

neurawkes

Source code of The Neural Hawkes Process

openne

An Open-Source Package for Network Embedding (NE)

photinia

Build deep learning models quickly for scientists in an object-oriented way.

qingxin-meng.github.io

homepage

salary-benchmark-with-matrix-factorization

predicting salary scales by matrix factorization with laplacian regularizers

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