mixture-model | Topic | Ecosyste.ms: Repos

Topic: "mixture-model"

DenisTome/Lifting-from-the-Deep-release

Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"

Language: Python - Size: 1010 KB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 450 - Forks: 132

SPFlow/SPFlow

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

Language: Python - Size: 125 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 297 - Forks: 80

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 **Superseded by the models-by-example repo**.

Language: R - Size: 11.2 MB - Last synced at: 10 days ago - Pushed at: over 4 years ago - Stars: 196 - Forks: 82

Cibiv/IQ-TREE 📦

Efficient phylogenomic software by maximum likelihood

Language: C++ - Size: 65.4 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 180 - Forks: 45

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.

Language: C++ - Size: 1.1 MB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 138 - Forks: 21

mahmoodlab/PANTHER

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

Language: Jupyter Notebook - Size: 23.2 MB - Last synced at: 17 days ago - Pushed at: about 2 months ago - Stars: 121 - Forks: 14

kyegomez/SwitchTransformers

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

Language: Python - Size: 2.42 MB - Last synced at: 4 days ago - Pushed at: 19 days ago - Stars: 97 - Forks: 13

cgre-aachen/bayseg

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

Language: Jupyter Notebook - Size: 65.4 MB - Last synced at: 12 days ago - Pushed at: almost 4 years ago - Stars: 63 - Forks: 15

junlulocky/PyBGMM

Bayesian inference for Gaussian mixture model with some novel algorithms

Language: Python - Size: 937 KB - Last synced at: 4 days ago - Pushed at: almost 7 years ago - Stars: 54 - Forks: 16

mullachv/MLExp

Language: Jupyter Notebook - Size: 44.1 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 38 - Forks: 20

BGU-CS-VIL/DPMMSubClusters.jl

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

Language: Julia - Size: 2.84 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 34 - Forks: 12

caravagnalab/mobster

Model-based subclonal deconvolution from bulk sequencing.

Language: HTML - Size: 126 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 33 - Forks: 8

m-clark/sem

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

Language: R - Size: 58.3 MB - Last synced at: 24 days ago - Pushed at: over 6 years ago - Stars: 30 - Forks: 18

SSQ/Coursera-UW-Machine-Learning-Clustering-Retrieval

Language: Python - Size: 81.9 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 28 - Forks: 28

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)*

Language: Jupyter Notebook - Size: 771 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 20 - Forks: 1

shibuiwilliam/mixture_of_experts_keras

Mixture of experts on convolutional neural network using Keras and Cifar10

Language: HTML - Size: 3.21 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 20 - Forks: 5

Jstacs/Jstacs

Language: Java - Size: 36.8 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 19 - Forks: 4

vsimkus/torch-reparametrised-mixture-distribution

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

Language: Python - Size: 16.6 KB - Last synced at: 21 days ago - Pushed at: about 1 year ago - Stars: 19 - Forks: 0

anjalisilva/MPLNClust

R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model

Language: R - Size: 19.7 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 15 - Forks: 4

modal-inria/MixtComp

Model-based clustering package for mixed data

Language: Jupyter Notebook - Size: 339 MB - Last synced at: 8 days ago - Pushed at: 11 months ago - Stars: 13 - Forks: 4

m-clark/R-models

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

Language: R - Size: 21 MB - Last synced at: 24 days ago - Pushed at: almost 7 years ago - Stars: 13 - Forks: 1

kashefy/mi2notes

My notes for Prof. Klaus Obermayer's "Machine Intelligence 2 - Unsupervised Learning" course at the TU Berlin

Language: TeX - Size: 27.8 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 4

Grice-Lab/HmmUFOtu

An HMM and Phylogenetic Placement based Ultra-Fast Taxonomy Assignment Tool for 16S sequencing

Language: C++ - Size: 53.3 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 11 - Forks: 9

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)

Language: Python - Size: 1.23 MB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 10 - Forks: 1

cbg-ethz/clustNet

Network-based clustering

Language: R - Size: 17.3 MB - Last synced at: 24 days ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 0

magister-informatica-uach/INFO337

Herramientas estadísticas para la investigación

Language: Jupyter Notebook - Size: 114 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 5

craabreu/mics

A friendly Python library for multistate analysis with MICS and MBAR

Language: Python - Size: 403 KB - Last synced at: 8 months ago - Pushed at: about 6 years ago - Stars: 7 - Forks: 1

vllab/TSMC_DL

TSMC course materials for unsupervised learning

Language: Jupyter Notebook - Size: 217 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 1

Unco3892/UncertaintyPlayground

A Fast and Simplified Python Library for Uncertainty Estimation

Language: Python - Size: 1.45 MB - Last synced at: 12 days ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 0

doraadong/MESSI

A predictive framework to identify signaling genes active in cell-cell interaction

Language: Jupyter Notebook - Size: 6.66 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 1

rivas-lab/mvpmm

MultiVariate Polygenic Mixture Model

Language: R - Size: 14.1 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 3

itsayushthada/Bayesian-Statistics

Bayesian Statistics with R [Gibbs Sampling, Metrapolis Hastings, Regression, Logistic Regression, Poisson Regression, Multi Factor Anova, Hierarchical Modelling, Mixture Models]

Language: Jupyter Notebook - Size: 3.8 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 3

hahnec/multimodal_emg

Multimodal Exponentially Modified Gaussians with Optional Oscillation

Language: Jupyter Notebook - Size: 2.4 MB - Last synced at: 9 days ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 1

PreferredAI/plrmm

Plackett-Luce Regression Mixture Model

Language: Python - Size: 10.7 KB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0

gravesee/BMM

Bernoulli Mixture Models

Language: C - Size: 48.8 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 0

andybega/spduration

Split-population duration model in R

Language: R - Size: 21.6 MB - Last synced at: 22 days ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

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.

Language: HTML - Size: 91.1 MB - Last synced at: 8 days ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

jpfeil/hydra

Language: Python - Size: 30.1 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

caravagnalab/BMix

Binomial and Beta-Binomial mixture models for counts data.

Language: HTML - Size: 7.82 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0

bghojogh/Fitting-Mixture-Distribution

The code for fitting a mixture distribution to data and Gaussian Mixture Model (GMM)

Language: R - Size: 212 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

panlanfeng/GaussianMixtureTest.jl

Implement the Kasahara-Shimotsu Test to decide number of components in Gaussian Mixture Model.

Language: Julia - Size: 37.1 KB - Last synced at: 2 months ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 6

peportier/jGMM

Gaussian Mixtures in J

Language: HTML - Size: 4.41 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 0

RRafiee/Gaussian-mixture-modelling

Gaussian mixture modelling - Unsupervised learning

Language: R - Size: 8.19 MB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 4 - Forks: 2

Ignotus/uva-machine-learning

Machine Learning Assignments (UvA '15 '16)

Language: Jupyter Notebook - Size: 6.8 MB - Last synced at: over 1 year ago - Pushed at: almost 9 years ago - Stars: 4 - Forks: 2

gmgeorg/pypress

PRESS: Predictive State Smoothing in Python (tf.keras)

Language: Jupyter Notebook - Size: 1.83 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 3 - Forks: 0

mixmod/mixmod

Supervised, unsupervised and semi-supervised classification with mixture modelling

Language: Jupyter Notebook - Size: 7.05 MB - Last synced at: 21 days ago - Pushed at: 5 months ago - Stars: 3 - Forks: 3

immerse-ucsb/3-Step-ML-auto

This R tutorial automates the 3-step ML auxiliary variable procedure using the MplusAutomation package (Hallquist & Wiley, 2018) to estimate models and extract relevant parameters. To learn more about auxiliary variable integration methods and why multi-step methods are necessary for producing un-biased estimates see Asparouhov & Muthén (2014).

Size: 2.74 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

mkamran37/CSE-601-Data-mining

CSE 601 Data mining and bioinformatics

Language: Python - Size: 4.06 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

suren-rathnayake/EMMIXmfa

An R package containing functions for clustering multivariate data using mixtures of factor analyzers.

Language: R - Size: 108 KB - Last synced at: 2 days ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 0

sahith/MachineLearning

MachineLearning

Language: Python - Size: 7.15 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 1

thecml/mensa

MENSA: A Multi-Event Network for Survival Analysis with Trajectory-based Likelihood Estimation

Language: Jupyter Notebook - Size: 6.31 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 2 - Forks: 0

robinlau1981/MarginalLikelihoodEstimator

Matlab code for the adaptive annealed importance sampling based marginal likelihood estimator.

Language: MATLAB - Size: 8.37 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

benediktfesl/MFA_cplx

Python implementation of a complex-valued version of the expectation-maximization (EM) algorithm for fitting Mixture of Factor Analyzers (MFA).

Language: Python - Size: 18.6 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

hknd23/idcempy

Inflated Discrete Choice Models

Language: Python - Size: 1.41 MB - Last synced at: about 20 hours ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 5

ArdiaD/AdMit

Adaptive Mixture of Student-t distributions

Language: R - Size: 5.19 MB - Last synced at: 8 days ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 2

aciobanusebi/nf-mixture

Language: Jupyter Notebook - Size: 4.87 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

mdnunez/sozhfo

Python, MATLAB, and JAGS code associated with the preprint, "Beyond rates: Time-varying dynamics of high frequency oscillations as a biomarker of the seizure onset zone." (2021)

Language: Python - Size: 303 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

prasanth5reddy/CSE-569-Fundamentals-of-Statistical-Learning

CSE 569, Fall 2019 Fundamentals of Statistical Learning Course at ASU

Language: Python - Size: 2.12 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

zongdaoming/LCBM

This is the code implementations for LCBM

Language: Python - Size: 18.6 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

btaschler/mcap

Model-based clustering in very high dimensions via adaptive projections.

Language: R - Size: 137 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 1

tinrabuzin/MVBPCA

Mixture of Bayes PCA | Variational Inference

Language: Jupyter Notebook - Size: 783 KB - Last synced at: 11 months ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 1

oliviergimenez/indhet_in_CRmodels

Illustrate CR models with individual heterogeneity (multistate, random-effect, finite-mixture)

Language: R - Size: 6.52 MB - Last synced at: about 1 year ago - Pushed at: over 8 years ago - Stars: 2 - Forks: 0

Bola382/Telescoping

Aplicação do Algoritmo proposto em https://doi.org/10.1214/21-BA1294 em misturas de regressão t de Student assimétricas.

Language: R - Size: 80 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

alexWhitworth/emclustr

R Package for clustering via EM algorithm

Language: R - Size: 29.3 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

ChihLi/GPcluster

This R package allows the estimation and prediction for a clustered Gaussian process model proposed by Sung, Haaland, Hwang, and Lu (2023) in Statistica Sinica

Language: R - Size: 188 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

bghojogh/Density-Based-Classifiers

The code of GMM and MAF classifiers

Language: Python - Size: 96.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

seo-beomseok/MLM

Mixture of Linear Models Co-supervised by Deep Neural Network

Language: Jupyter Notebook - Size: 23.9 MB - Last synced at: 9 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

ForceBru/RandomResearch

Jupyter notebooks and other stuff with random research

Language: Jupyter Notebook - Size: 179 KB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

danielgribel/SSC-IPA

Source code of "Semi-Supervised Clustering with Inaccurate Pairwise Annotations" (Gribel, Gendreau and Vidal, 2021)

Language: Julia - Size: 76.2 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

samsamiczy/clustering-with-Bayesian-mixtures

Gibbs sampler (MCMC) and Bayesian mixture methods applied to cluster analysis of breast tumours.

Language: Jupyter Notebook - Size: 4.35 MB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

negar7918/oMHMM

Language: Python - Size: 292 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

SZJShuffle/BayesianMixtureModels

Language: R - Size: 1.88 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

victhorio/dynmix

Dynamic Clustering of Time-Series. Available on PyPi.

Language: Python - Size: 245 KB - Last synced at: 7 days ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

tA-bot-git/python-Kmeans

K-means implementation in python using Jupyter Notebook

Language: Jupyter Notebook - Size: 688 KB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1

acruis/KS_iMGPE

Kernel selection for Gaussian Processes

Language: Python - Size: 24.4 KB - Last synced at: 6 months ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1

IRC-SPHERE/periodic-mixture

Periodic mixture aka Mixture of Wrapped Normal Distributions. Circular Bayesian Statistics.

Language: Jupyter Notebook - Size: 13.6 MB - Last synced at: 21 days ago - Pushed at: about 8 years ago - Stars: 1 - Forks: 1

lycosystem/lymixture Fork of julianbro/lymixture

Extension to the lymph-model and lyscripts package.

Language: Python - Size: 4.98 MB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 1