bayesian-nonparametrics

There are 3 repositories under bayesian-nonparametrics topic.

Networks-Learning / hdhp.py
Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017
bayesian-nonparametrics hawkes machine-learning point-processes
Language:Python 36
jirotubuyaki / ThunderBayesR
An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.
bayesian-nonparametric-models bayesian clustering simulation nonparametric bayesian-statistics bayes data-clustering-algorithm data-analysis data-science clustering-algorithm cluster clustering-methods r-package dirichlet-process crp bayesian-nonparametrics bayesian-methods machine-learning r
Language:R 16
paidamoyo / survival_cluster_analysis
ACM CHIL 2020: "Survival Cluster Analysis"
latent-representations bayesian-nonparametrics dirichlet-process survival-analysis time-to-event clustering deep-learning
Language:Jupyter Notebook 16
NGMLGroup / Bayesian-Nonparametric-Graph-Pooling
Implementation of the BNPool layer and code to reproduce the experiments in "Bayesian Nonparametric GNNs for graph pooling and clustering".
bayesian-inference bayesian-nonparametrics graph-classification graph-neural-networks graph-pooling node-clustering
Language:Python 11
scakc / NPBCL
Bayesian Structure Adaptation for Continual Learning. A non-parametric Bayesian approach on continual learning that learns the sparse deep substructure for each task by selecting weights to be used by the deep neural network.
bayesian-nonparametrics continual-learning ibp lifelong-learning model-selection neural-networks structural-learning
Language:Python 8
ethanhezhao / DirBN
The code for DirBN in NeurIPS 2018
topic-modeling machine-learning bayesian-statistics nips-2018 bayesian-nonparametrics
Language:MATLAB 7
Keefe-Murphy / IMIFA
Infinite Mixtures of Infinite Factor Analysers
dimension-reduction bayesian-nonparametrics factor-analysis gaussian-mixture-model model-based-clustering
Language:R 7
lipovec-t / vi-gaussian-dpm
Coordinate Ascent Variational Inference for Dirichlet Process Mixtures of Gaussians
bayesian-inference bayesian-nonparametrics clustering dirichlet-process-mixtures exponential-family gaussian-mixture-models probabilistic-machine-learning statistical-signal-processing variational-inference
Language:Python 7
jirotubuyaki / ThunderBayes.jl
A Julia Package for Bayesian Nonparametric Analysis for Machine Learning
bayes bayesian bayesian-cluster-analysis bayesian-inference bayesian-nonparametric-methods bayesian-nonparametric-models bayesian-nonparametrics bayesian-statistics cluster-analysis clustering clustering-algorithm machine-learning statistics julia chinese-restaurant-process time-series
Language:Julia 4
salleuska / IRT_nimble_code
Supplementary code to the paper "Computational methods for Bayesian semiparametric Item Response Theory models"
bayesian-inference bayesian-nonparametrics irt nimble
Language:R 4
jasa-acs / Bayesian-Semiparametric-Mixed-Effects-Markov-Models-with-Application-to-Vocalization-Syntax
Reproducibility materials for "Bayesian Semiparametric Mixed Effects Markov Models with Application to Vocalization Syntax" by Abhra Sarkar, Jonathan Chabout, Joshua Jones Macopson, Erich D. Jarvis & David B. Dunson
bayesian-nonparametrics categorical-sequences markov-models mixed-effects-models mouse-vocalization-experiments
Language:MATLAB 3
teobucci / bayesian-statistics-project
Project for the Bayesian Statistics course of the MSc in Mathematical Engineering @ Polimi (A.Y. 2022-2023).
bayesian-statistics changepoint-detection stochastic-block-model bayesian-nonparametrics split-and-merge-algorithm bdgraph
Language:TeX 3
AndrewRLawrence / dp_gp_lvm
This repository captures code developed during my PhD at the University of Bath and includes the implementation of the DP-GP-LVM model.
dp-gp-lvm gaussian-processes dirichlet-process latent-variable-models unsupervised-learning machine-learning bayesian-nonparametrics
Language:Python 2
jirotubuyaki / predictionio-template-crp-clustering
Apache PredictionIO Template: Bayesian Nonparametric Chinese Restaurant Process Clustering
predictionio machine-learning machine-learning-algorithms clustering clustering-algorithm bayesian nonparametricbayes statistical-learning bayesian-nonparametrics scala
Language:Scala 2
laura-dangelo / fCAM_calcium_imaging
Supporting Information for "Bayesian nonparametric analysis for the detection of spikes in noisy calcium imaging data"
bayesian-nonparametrics calcium-imaging nested-models
Language:C++ 2
Niccolo-Ajroldi / Functional-BNP-clustering
Bayesian nonparametric clustering of functional data.
bayesian-statistics gibbs-sampler dirichlet-process-mixtures functional-data-analysis functional-data-clustering clustering bayesian-nonparametrics
Language:R 2
dbernaciak / bayes-np
Bayesian Nonparametrics
bayesian-statistics bayesian-nonparametrics bayesian-nonparametric-methods
Language:Jupyter Notebook 1
igutierrezm / DPMNeal3.jl
A Julia interface for Dirichlet process mixture (DPM) models using Neal's algorithm 3.
bayesian-nonparametrics dirichlet-process-mixtures mcmc
Language:Julia 1
jarbel / BNP-MASH
bayesian-deep-learning bayesian-nonparametrics slides grenoble-alpes practicals
Language:Jupyter Notebook 1
apeterson91 / rstapDP
Functional Spatial Temporal Aggregated Dirichlet Process Predictors
bayesian bayesian-nonparametrics dirichlet-process built-environment statistics
Language:C++ 0
kasia-kobalczyk / invconban
Repository for my research project on Inverse Contextual Bandits
bayesian-methods bayesian-nonparametrics inverse-reinforcement-learning markov-chain-monte-carlo
Language:Python
rwl93 / bnp4ood
Bayesian non-parametrics for out of distribution detection
bayesian-nonparametrics out-of-distribution-detection
Language:Jupyter Notebook