Pinned Repositories
CiteSeerX
CiteSeerX public repository
dashboard_templates
Dashboard code templates for data analysis. Designed for supporting prototyping machine learning models, analyzing and visualizing raw or processed data.
DynamicPoissonFactorization
Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time according to user-item ratings.
gpkm
materials for gaussian processes and kernel methods
hgaprec
Algorithms for Bayesian Poisson factorization
lichili233.github.io
Personal website of @lichili233
PSIS
Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
RecBole
A unified, comprehensive and efficient recommendation library
mercari-ml-merrec-pub-us
CiteSeerExtractor
lichili233's Repositories
lichili233/CiteSeerX
CiteSeerX public repository
lichili233/dashboard_templates
Dashboard code templates for data analysis. Designed for supporting prototyping machine learning models, analyzing and visualizing raw or processed data.
lichili233/DynamicPoissonFactorization
Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time according to user-item ratings.
lichili233/gpkm
materials for gaussian processes and kernel methods
lichili233/hgaprec
Algorithms for Bayesian Poisson factorization
lichili233/lichili233.github.io
Personal website of @lichili233
lichili233/PSIS
Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
lichili233/RecBole
A unified, comprehensive and efficient recommendation library
lichili233/RecSysDatasets
This is a repository of public data sources for Recommender Systems (RS).
lichili233/SimSeerInstaller
A Java-based installer application for SimSeerX
lichili233/TxtToCsvMerger
A very inefficient Python script merging specific text files to broken csv's
lichili233/STEM
[AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".