Projects in Awesome Lists tagged with mixture-model

https://github.com/SPFlow/SPFlow

Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks

deep-learning graphical-models machine-learning mixture-model spn sum-product-networks tensorflow-models

Last synced: 19 Jul 2025

https://github.com/spflow/spflow

Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks

deep-learning graphical-models machine-learning mixture-model spn sum-product-networks tensorflow-models

Last synced: 07 Mar 2026

https://github.com/m-clark/miscellaneous-r-code

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

additive-models bayesian em factor-analysis gaussian-processes irt jags julia machine-learning matlab mixed-models mixture-model ordinal-regression pca probit python r stan survival-analysis zip

Last synced: 13 Apr 2025

https://github.com/m-clark/Miscellaneous-R-Code

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

additive-models bayesian em factor-analysis gaussian-processes irt jags julia machine-learning matlab mixed-models mixture-model ordinal-regression pca probit python r stan survival-analysis zip

Last synced: 14 Mar 2025

https://github.com/kyegomez/switchtransformers

Implementation of Switch Transformers from the paper: "Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity"

ai gpt4 llama mixture-model mixture-of-experts mixture-of-models ml moe multi-modal

Last synced: 09 Oct 2025

https://github.com/mahmoodlab/panther

Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024

histology mixture-model optimal-transport panther pathology protoype

Last synced: 05 Apr 2025

https://github.com/mahmoodlab/Panther

Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024

histology mixture-model optimal-transport panther pathology protoype

Last synced: 06 May 2025

https://github.com/cgre-aachen/bayseg

An unsupervised machine learning algorithm for the segmentation of spatial data sets.

bayesian-methods gaussian-mixture-models geophysics gibbs-energy gibbs-sampling hidden-markov-models machine-learning markov-chain mixture-model python3 segmentation

Last synced: 10 Apr 2025

https://github.com/junlulocky/pybgmm

Bayesian inference for Gaussian mixture model with some novel algorithms

bayesian-inference crp finite-mixture gaussian-mixture-models infinite-mixture machine-learning mcmc-sampler mixture-model pcrp subcrp

Last synced: 15 Mar 2026

https://github.com/bgu-cs-vil/dpmmsubclusters.jl

Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)

bayesian-inference ccgrid dirichlet-process dirichlet-process-mixtures distributed distributed-computing gaussian hpml hyper-computing inference julia machine-learning mixture-model multinomial parallel-computing

Last synced: 16 Apr 2025

https://github.com/m-clark/sem

:white_medium_small_square: <- :white_circle: Structural Equation Modeling from a broader context.

bayesian-nonparametric-models graphical-models growth-curves irt latent-variable-models lavaan mixture-model r sem structural-equation-modeling topic-modeling

Last synced: 30 Apr 2025

https://github.com/vsimkus/torch-reparametrised-mixture-distribution

PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.

data-science gradients machine-learning mixture-distributions mixture-model mixture-of-gaussians pytorch variational-inference

Last synced: 10 Oct 2025

https://github.com/modal-inria/mixtcomp

Model-based clustering package for mixed data

clustering cpp cran heterogeneous-data missing-data mixed-data mixture-model r statistics

Last synced: 29 Apr 2025

https://github.com/m-clark/r-models

A quick reference for how to run many models in R.

additive-models bayesian-models brms catwalk cluster-analysis lme4 machine-learning mgcv mixed-models mixture-model pca psych r regularization sem spatial-analysis statistical-models statistics survival-analysis time-series

Last synced: 15 Jun 2025

https://github.com/jlparki/mix_t

Python (pip) package for fitting mixtures of Student's t-distributions using either maximum likelihood (EM) or Bayesian methodology (variational mean-field)

mixture-model student-t

Last synced: 08 Apr 2026