mixture-model

There are 1 repository under mixture-model topic.

DenisTome / Lifting-from-the-Deep-release
Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"
2d-human-pose 3d-human-pose convolutional-neural-networks deep-learning human-pose-estimation mixture-model pose-estimation ppca unsupervised-learning
Language:Python 448
SPFlow / SPFlow
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
spn sum-product-networks tensorflow-models graphical-models machine-learning deep-learning mixture-model
Language:Python 281
Miscellaneous-R-Code
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 **Superseded by the models-by-example repo**.
r stan jags matlab julia python bayesian mixed-models gaussian-processes factor-analysis pca em survival-analysis ordinal-regression probit irt mixture-model zip additive-models machine-learning
Language:R 188
Cibiv / IQ-TREE
Efficient phylogenomic software by maximum likelihood
maximum-likelihood phylogenomics phylogenetics mixture-model iq-tree ultrafast-bootstrap model-selection
Language:C++ 181
dsteinberg / libcluster
An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.
clustering mixture-model variational-bayes bayesian-inference nonparametrics
Language:C++ 138
cgre-aachen / bayseg
An unsupervised machine learning algorithm for the segmentation of spatial data sets.
segmentation python3 hidden-markov-models bayesian-methods gaussian-mixture-models gibbs-energy gibbs-sampling markov-chain machine-learning mixture-model geophysics
Language:Jupyter Notebook 55
junlulocky / PyBGMM
Bayesian inference for Gaussian mixture model with some novel algorithms
gaussian-mixture-models mcmc-sampler bayesian-inference crp pcrp finite-mixture infinite-mixture subcrp mixture-model machine-learning
Language:Python 53
mullachv / MLExp
bayesian neural networks mixture-model
Language:Jupyter Notebook 38
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
Language:Julia 33
caravagnalab / mobster
Model-based subclonal deconvolution from bulk sequencing.
subclone-identification mixture-model model-based-clustering beta-distribution pareto-distributions
Language:HTML 30
m-clark / sem
:white_medium_small_square: <- :white_circle: Structural Equation Modeling from a broader context.
sem structural-equation-modeling latent-variable-models graphical-models growth-curves mixture-model r lavaan irt topic-modeling bayesian-nonparametric-models
Language:R 30
SSQ / Coursera-UW-Machine-Learning-Clustering-Retrieval
k-nearest-neighbors word-count tf-idf approximate-nearest-neighbor-search locality-sensitive-hashing kd-tree mapreduce k-means k-means-plus-plus mixture-model em-algorithm latent-dirichlet-allocation gibbs-sampling hierarchical-clustering divisive-clustering agglomerative-clustering dendrogram hidden-markov-models
Language:Python 27
shibuiwilliam / mixture_of_experts_keras
Mixture of experts on convolutional neural network using Keras and Cifar10
mixture-model neural-network gating-networks keras deep-learning deep-neural-networks
Language:HTML 20
tsc2017 / MIX-GAN
Some recent state-of-the-art generative models in ONE notebook: (MIX-)?(GAN|WGAN|BigGAN|MHingeGAN|AMGAN|StyleGAN|StyleGAN2)(\+ADA|\+CR|\+EMA|\+GP|\+R1|\+SA|\+SN)*
adaptive-discriminator-augmentation ensemble-learning gan generative-adversarial-network generative-model mix-gan mixture-model mixture-of-experts
Language:Jupyter Notebook 20
anjalisilva / MPLNClust
R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model
count-data mpln-distribution mcmc-em icl aic mixture-model variational-em bic aic3 model-based-clustering r-package model-selection data-simulation data-visualization heatmaps lineplot posterior-probability shinyapp
Language:R 15
Jstacs / Jstacs
biological-sequences biological-sequence-statistics statistical-models statistical-learning machine-lerning classification discriminative-learning generative-model gradient-descent-algorithm mixture-model markov-model hidden-markov-model bayesian-network
Language:Java 15
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
Language:Python 14
vsimkus / torch-reparametrised-mixture-distribution
PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.
pytorch gradients mixture-distributions machine-learning data-science mixture-model mixture-of-gaussians variational-inference
Language:Python 14
kashefy / mi2notes
My notes for Prof. Klaus Obermayer's "Machine Intelligence 2 - Unsupervised Learning" course at the TU Berlin
pca hmm expectation-maximization ica som mixture-model density-estimation kde kernel-pca clustering lle
Language:TeX 13
modal-inria / MixtComp
Model-based clustering package for mixed data
statistics mixture-model r cpp clustering missing-data heterogeneous-data mixed-data cran
Language:Jupyter Notebook 12
m-clark / R-models
A quick reference for how to run many models in R.
r machine-learning statistics statistical-models catwalk mixed-models additive-models time-series spatial-analysis sem regularization survival-analysis pca bayesian-models cluster-analysis mixture-model lme4 mgcv brms psych
Language:R 11
Grice-Lab / HmmUFOtu
An HMM and Phylogenetic Placement based Ultra-Fast Taxonomy Assignment Tool for 16S sequencing
taxonomy-assignment jplace mixture-model phylogenetic-placement hmm otu dirichlet-process-mixtures phylogenetics
Language:C++ 10
itsayushthada / Bayesian-Statistics
Bayesian Statistics with R [Gibbs Sampling, Metrapolis Hastings, Regression, Logistic Regression, Poisson Regression, Multi Factor Anova, Hierarchical Modelling, Mixture Models]
gibbs-sampling bayesian-statistics jags poisson-regression logistic-regression anova regression hierarchical-models mixture-model
Language:Jupyter Notebook 8
magister-informatica-uach / INFO337
Herramientas estadísticas para la investigación
statistics regression mixture-model mcmc maximum-likelihood-estimation
Language:Jupyter Notebook 8
craabreu / mics
A friendly Python library for multistate analysis with MICS and MBAR
free-energy statistics molecular-dynamics monte-carlo multistate-bennett-acceptance-ratio mixture-model
Language:Python 7
vllab / TSMC_DL
TSMC course materials for unsupervised learning
deep-learning mixture-model mnist-dataset neural-network sparse-coding visualization
Language:Jupyter Notebook 7
bghojogh / Fitting-Mixture-Distribution
The code for fitting a mixture distribution to data and Gaussian Mixture Model (GMM)
gaussian-mixture-models gmm mixture-model
Language:R 6
doraadong / MESSI
A predictive framework to identify signaling genes active in cell-cell interaction
expression subtype mixture-model multi-task signaling spatial
Language:Jupyter Notebook 6
mvpmm
rivas-lab / mvpmm
MultiVariate Polygenic Mixture Model
modeling genetics statistics ukbiobank gwas-summary-statistics mixture-model stan bayesian-methods genetic-correlations heritability
Language:R 6
gravesee / BMM
Bernoulli Mixture Models
r expectation-maximization mixture-model
Language:C 5
hahnec / multimodal_emg
Multimodal Exponentially Modified Gaussians with Optional Oscillation
acoustic-features acoustics exponentially-modified-gaussian feature-engineering multimodal regression oscillation oscillations superposition regression-models gaussian-mixture-models mixture-model
Language:Jupyter Notebook 5
Ignotus / uva-machine-learning
Machine Learning Assignments (UvA '15 '16)
machine-learning university-of-amsterdam logistic-regression linear-regression neural-networks gaussian-processes mixture-model probabilistic-graphical-models
Language:Jupyter Notebook 5
pletschm / aldvmm
The goal of ‘aldvmm’ is to fit adjusted limited dependent variable mixture models of health state utilities in R. Adjusted limited dependent variable mixture models are finite mixtures of normal distributions with an accumulation of density mass at the limits, and a gap between 100% quality of life and the next smaller utility value. The package ‘aldvmm’ uses the likelihood and expected value functions proposed by Hernandez Alava and Wailoo (2015) using normal component distributions and a multinomial logit model of probabilities of component membership.
utilities mapping clinical-trials hta mixture-model quality-of-life cost-effectiveness hui health-economics patient-reported-outcomes limited-dependent-variable eq5d finite-mixture
Language:HTML 5
PreferredAI / plrmm
Plackett-Luce Regression Mixture Model
plackett-luce-model ranking learning-to-rank mixture-model
Language:Python 5
cbg-ethz / clustNet
Network-based clustering
bayesian-network bayesian-networks clustering genomics mixture-model network-clustering dag
Language:R 4
Unco3892 / UncertaintyPlayground
A Fast and Simplified Python Library for Uncertainty Estimation
gaussian-processes gpytorch mixture-model prediction-interval pytroch
Language:Python 4