Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model
-
Updated
Feb 11, 2026 - Python
#
gibbs-sampler
Here are 56 public repositories matching this topic...
Language: All
Filter by language
Sort: Most stars
Sort options
A Python/C++ implementation of Bayesian Factorization Machines
collaborative-filtering factorization-machines bayesian-inference regression-models gibbs-sampler ordinal-regression factorization-machine gibbs-sampling-algorithm
-
Updated
Aug 10, 2026 - C++
Hierarchical, multi-label topic modelling with LDA
natural-language-processing bayesian-inference latent-dirichlet-allocation gibbs-sampler multilabel-multiclass
-
Updated
Dec 8, 2022 - Python
A Latent Dirichlet Allocation implementation in Python.
python nlp machine-learning natural-language-processing machine-learning-algorithms topic-modeling bayesian-inference lda variational-inference latent-dirichlet-allocation gibbs-sampling gibbs-sampler topic-models
-
Updated
Mar 24, 2019 - Python
Visualization of Gibbs sampling for 2D Gaussian distribution
-
Updated
Jun 9, 2020 - Jupyter Notebook
Code to perform multivariate linear regression using Gibbs sampling
-
Updated
Mar 15, 2022 - Jupyter Notebook
Bayesian CausalImpact for Python — R-compatible Gibbs sampler in Rust (PyO3), 30x faster, no TensorFlow
-
Updated
Mar 26, 2026 - Python
Estimate the Deterministic Input, Noisy "And" Gate (DINA) cognitive diagnostic model parameters using the Gibbs sampler described by Culpepper (2015) <doi:10.3102/1076998615595403>.
-
Updated
Sep 28, 2025 - C++
Localization of brain sources measured by EEG using 3 approaches: Gibbs sampler (Markov chain Monte Carlo algorithm), Minimum Norm Estimates (MNE) and Source Imaging based on Structured Sparsity (SISSY)
monte-carlo markov-chain eeg mcmc inverse-problems forward-problem gibbs-sampler blind-source-separation source-localization
-
Updated
Apr 22, 2024 - MATLAB
glmdisc Python package: discretization, factor level grouping, interaction discovery for logistic regression
-
Updated
Nov 28, 2023 - Python
Generating samples from Ising model.
-
Updated
Jul 19, 2019 - Python
Bayesian trend filtering micro library. http://trendpy.readthedocs.io/en/latest/
-
Updated
Jan 22, 2019 - Jupyter Notebook
R implementation of the Dirichlet Process Gaussian Mixture Model (with MCMC)
-
Updated
Feb 8, 2016 - R
Libary for SGPD (Sigmoidal Gaussian Process Density) inference
-
Updated
May 21, 2019 - Python
Bayesian Regression Analyses from scratch - NBA data example
nba-stats bayesian-statistics gibbs-sampler metropolis-hastings posterior-predictive sports-analytics
-
Updated
Jan 26, 2023 - R
Approximate Bayesian inference for mixed effects models with heterogeneity
-
Updated
Apr 29, 2018 - R
Statistical Modeling for Combinatorial Response Data
regression research-paper markov-chain-monte-carlo gibbs-sampler combinatorial-optimization statistics-modeling combinatorial-problems metropolis-hastings-algorithm optimization-techniques baeysian
-
Updated
Jul 18, 2026 - Jupyter Notebook
In the first semester of my MSc. studies, we developed a phyton version of the Gibbs Sampler and Metropolis-Hastings Algorithm from the scratch. We described our results and analysis in a report.
-
Updated
Dec 24, 2021 - Python
Add this topic to your repo
To associate your repository with the gibbs-sampler topic, visit your repo's landing page and select "manage topics."