Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017
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Dec 4, 2018 - Python
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bayesian-nonparametrics
Here are 22 public repositories matching this topic...
ACM CHIL 2020: "Survival Cluster Analysis"
deep-learning clustering survival-analysis dirichlet-process time-to-event bayesian-nonparametrics latent-representations
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Jan 26, 2021 - Jupyter Notebook
An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.
data-science machine-learning r simulation clustering cluster bayesian-methods data-analysis bayesian bayes r-package clustering-algorithm bayesian-statistics dirichlet-process data-clustering-algorithm bayesian-nonparametric-models nonparametric crp clustering-methods bayesian-nonparametrics
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Jun 30, 2022 - R
Implementation of the BNPool layer and code to reproduce the experiments in "Bayesian Nonparametric GNNs for graph pooling and clustering".
bayesian-inference graph-classification bayesian-nonparametrics graph-neural-networks graph-pooling node-clustering
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Jun 23, 2025 - Python
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.
model-selection neural-networks ibp lifelong-learning continual-learning bayesian-nonparametrics structural-learning
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May 30, 2022 - Python
Infinite Mixtures of Infinite Factor Analysers
gaussian-mixture-model factor-analysis dimension-reduction model-based-clustering bayesian-nonparametrics
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Dec 12, 2023 - R
The code for DirBN in NeurIPS 2018
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Nov 24, 2018 - MATLAB
Coordinate Ascent Variational Inference for Dirichlet Process Mixtures of Gaussians
clustering gaussian-mixture-models bayesian-inference variational-inference dirichlet-process-mixtures exponential-family bayesian-nonparametrics statistical-signal-processing probabilistic-machine-learning
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Jan 11, 2024 - Python
Supplementary code to the paper "Computational methods for Bayesian semiparametric Item Response Theory models"
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Feb 18, 2025 - R
A Julia Package for Bayesian Nonparametric Analysis for Machine Learning
machine-learning statistics time-series clustering julia bayesian bayesian-inference bayes cluster-analysis clustering-algorithm bayesian-statistics bayesian-cluster-analysis bayesian-nonparametric-models chinese-restaurant-process bayesian-nonparametrics bayesian-nonparametric-methods
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Oct 7, 2022 - Julia
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
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Aug 8, 2018 - MATLAB
Project for the Bayesian Statistics course of the MSc in Mathematical Engineering @ Polimi (A.Y. 2022-2023).
stochastic-block-model bayesian-statistics bayesian-nonparametrics split-and-merge-algorithm changepoint-detection bdgraph
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Mar 16, 2025 - TeX
Supporting Information for "Bayesian nonparametric analysis for the detection of spikes in noisy calcium imaging data"
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Jul 14, 2022 - C++
Apache PredictionIO Template: Bayesian Nonparametric Chinese Restaurant Process Clustering
machine-learning scala clustering machine-learning-algorithms statistical-learning predictionio bayesian clustering-algorithm nonparametricbayes bayesian-nonparametrics
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Aug 7, 2018 - Scala
This repository captures code developed during my PhD at the University of Bath and includes the implementation of the DP-GP-LVM model.
machine-learning unsupervised-learning gaussian-processes latent-variable-models dirichlet-process bayesian-nonparametrics dp-gp-lvm
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Oct 11, 2020 - Python
Bayesian nonparametric clustering of functional data.
clustering functional-data-analysis bayesian-statistics gibbs-sampler dirichlet-process-mixtures bayesian-nonparametrics functional-data-clustering
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Oct 21, 2021 - R
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Feb 5, 2021 - Jupyter Notebook
Bayesian Nonparametrics
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Jun 9, 2022 - Jupyter Notebook
Functional Spatial Temporal Aggregated Dirichlet Process Predictors
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Sep 16, 2023 - C++
Repository for my research project on Inverse Contextual Bandits
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Dec 12, 2022 - Python
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