Bayesian Nonparametrics Models
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Updated
Jul 19, 2017 - TeX
Bayesian Nonparametrics Models
Bayesian Nonparametric Mixture Models in Java
Bayesian Nonparametric Mixture Models in Julia
Rcpp Package implements Hierarchical Functional Models
Bayesian Non-Parametric Image Segmentation using HDP-MRF
BayesianNonparametrics in julia
Probabilistic inference of somatic copy number alterations using repeat DNA (FAST-SeqS)
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning
◽ <- ⚪ Structural Equation Modeling from a broader context.
Toolbox for spectral non-parametric clustering of SPD matices (covariance matrices and ellipsoids). Also contains code for EM-based GMM learning and inference for Bayesian non-parametric CRP-GMM.
Toolbox for IBP Coupled SPCM-CRP Hidden Markov Model. Also contains code for EM-based HMM learning and inference for Bayesian non-parametric HDP-HMM and IBP-HMM.
Survival Based Clustering : Consistent Clustering of continuous molecular data with censored survival times
An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.
A Julia Package for Bayesian Nonparametric Analysis for Machine Learning
3 week Capstone project with BP - predicting part failure based on historical data
Statistical analysis and modeling using R, particularly with a focus on cluster analysis and visualization of probabilities
Dirichlet Process K-means
Bayesian Additive Regresssion Kernels
Benchmarks of Bayesian Nonparametric models in Turing and other PPLs
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