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"
deep-learning 2d-human-pose 3d-human-pose mixture-model human-pose-estimation convolutional-neural-networks ppca unsupervised-learning pose-estimation
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 probabilistic-circuits
Language:Python 303
Cibiv / IQ-TREE
Efficient phylogenomic software by maximum likelihood
iq-tree maximum-likelihood mixture-model model-selection phylogenetics phylogenomics ultrafast-bootstrap
Language:C++ 203
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 **Superseded by the models-by-example repo**.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 196
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.
bayesian-inference clustering mixture-model nonparametrics variational-bayes
Language:C++ 144
mahmoodlab / PANTHER
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024
histology mixture-model optimal-transport panther pathology protoype
Language:Jupyter Notebook 141
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 129
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
Language:Jupyter Notebook 62
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 54
NoakLiu / PiKV
PiKV: KV Cache Management System for Mixture of Experts [Efficient ML System]
kvcache mlsystem moe parallel-computing kv-cache management-system mixture-model mixture-of-experts distributed-systems
Language:Python 42
mullachv / MLExp
bayesian neural networks mixture-model
Language:Jupyter Notebook 41
BGU-CS-VIL / DPMMSubClusters.jl
Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)
mixture-model machine-learning dirichlet-process dirichlet-process-mixtures gaussian multinomial bayesian-inference inference julia distributed parallel-computing distributed-computing ccgrid hpml hyper-computing
Language:Julia 33
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 31
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 30
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 29
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 22
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)*
gan generative-adversarial-network generative-model mixture-model ensemble-learning mixture-of-experts adaptive-discriminator-augmentation mix-gan
Language:Jupyter Notebook 19
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
Language:Python 19
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 17
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 14
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 13
modal-inria / MixtComp
Model-based clustering package for mixed data
clustering cpp cran heterogeneous-data missing-data mixed-data mixture-model r statistics
Language:Jupyter Notebook 13
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++ 11
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
Language:Python 10
itsayushthada / Bayesian-Statistics
Bayesian Statistics with R [Gibbs Sampling, Metrapolis Hastings, Regression, Logistic Regression, Poisson Regression, Multi Factor Anova, Hierarchical Modelling, Mixture Models]
anova bayesian-statistics gibbs-sampling hierarchical-models jags logistic-regression mixture-model poisson-regression regression
Language:Jupyter Notebook 9
magister-informatica-uach / INFO337
Herramientas estadísticas para la investigación
statistics regression mixture-model mcmc maximum-likelihood-estimation
Language:Jupyter Notebook 8
cbg-ethz / clustNet
Network-based clustering
bayesian-network bayesian-networks clustering genomics mixture-model network-clustering dag
Language:R 7
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
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 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
Ignotus / uva-machine-learning
Machine Learning Assignments (UvA '15 '16)
gaussian-processes linear-regression logistic-regression machine-learning mixture-model neural-networks probabilistic-graphical-models university-of-amsterdam
Language:Jupyter Notebook 6
Unco3892 / UncertaintyPlayground
A Fast and Simplified Python Library for Uncertainty Estimation
gaussian-processes gpytorch mixture-model prediction-interval pytroch
Language:Python 6
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
PreferredAI / plrmm
Plackett-Luce Regression Mixture Model
plackett-luce-model ranking learning-to-rank mixture-model
Language:Python 5