Pinned Repositories
BMF_Priors
Python code for "Prior and Likelihood Choices for Bayesian Matrix Factorisation on Small Datasets".
BNMTF
Python code for "Fast Bayesian nonnegative matrix factorisation and tri-factorisation", presented at NIPS 2016 Workshop on Advances in Approximate Bayesian Inference
BNMTF_ARD
Python code for "Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation", published at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017).
HMF
Python code for "Bayesian hybrid matrix factorisation for data integration", published at 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017).
kmeans_missing
Implementation of the K-means clustering algorithm, for a dataset in which data points can have missing values for some coordinates.
project_euler
Solutions to Project Euler problems
ThomasBrouwer's Repositories
ThomasBrouwer/BNMTF
Python code for "Fast Bayesian nonnegative matrix factorisation and tri-factorisation", presented at NIPS 2016 Workshop on Advances in Approximate Bayesian Inference
ThomasBrouwer/HMF
Python code for "Bayesian hybrid matrix factorisation for data integration", published at 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017).
ThomasBrouwer/BMF_Priors
Python code for "Prior and Likelihood Choices for Bayesian Matrix Factorisation on Small Datasets".
ThomasBrouwer/BNMTF_ARD
Python code for "Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation", published at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017).
ThomasBrouwer/kmeans_missing
Implementation of the K-means clustering algorithm, for a dataset in which data points can have missing values for some coordinates.
ThomasBrouwer/project_euler
Solutions to Project Euler problems