mixture-model

There are 110 repositories under mixture-model topic.

  • DenisTome/Lifting-from-the-Deep-release

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

    Language:Python4483251133

  • SPFlow/SPFlow

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

    Language:Python281189680
  • 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 **Superseded by the models-by-example repo**.

    Language:R19322281

  • Cibiv/IQ-TREE

    Efficient phylogenomic software by maximum likelihood

    Language:C++1811823745

  • 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++14011922

  • cgre-aachen/bayseg

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

    Language:Jupyter Notebook58122314

  • junlulocky/PyBGMM

    Bayesian inference for Gaussian mixture model with some novel algorithms

    Language:Python547016

  • mullachv/MLExp

    Language:Jupyter Notebook395120

  • BGU-CS-VIL/DPMMSubClusters.jl

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

    Language:Julia3341511

  • mahmoodlab/PANTHER

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

    Language:Jupyter Notebook321

  • caravagnalab/mobster

    Model-based subclonal deconvolution from bulk sequencing.

    Language:HTML308257

  • m-clark/sem

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

    Language:R3021718

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

    Language:Python272128

  • shibuiwilliam/mixture_of_experts_keras

    Mixture of experts on convolutional neural network using Keras and Cifar10

    Language:HTML21316

  • kyegomez/SwitchTransformers

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

    Language:Python204

  • 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 Notebook20101

  • anjalisilva/MPLNClust

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

    Language:R15204

  • Jstacs/Jstacs

    Language:Java152585

  • kashefy/mi2notes

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

    Language:TeX14204

  • vsimkus/torch-reparametrised-mixture-distribution

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

    Language:Python14100

  • modal-inria/MixtComp

    Model-based clustering package for mixed data

    Language:Jupyter Notebook122284

  • m-clark/R-models

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

    Language:R11301

  • Grice-Lab/HmmUFOtu

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

    Language:C++106129

  • 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 Notebook8103

  • magister-informatica-uach/INFO337

    Herramientas estadísticas para la investigación

    Language:Jupyter Notebook8105

  • craabreu/mics

    A friendly Python library for multistate analysis with MICS and MBAR

    Language:Python7201

  • vllab/TSMC_DL

    TSMC course materials for unsupervised learning

    Language:Jupyter Notebook7401

  • bghojogh/Fitting-Mixture-Distribution

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

    Language:R6100

  • doraadong/MESSI

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

    Language:Jupyter Notebook6211
  • mvpmm

    rivas-lab/mvpmm

    MultiVariate Polygenic Mixture Model

    Language:R6403

  • gravesee/BMM

    Bernoulli Mixture Models

    Language:C5010

  • hahnec/multimodal_emg

    Multimodal Exponentially Modified Gaussians with Optional Oscillation

    Language:Jupyter Notebook5101

  • 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:Python5

  • 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.

    Language:HTML5220

  • PreferredAI/plrmm

    Plackett-Luce Regression Mixture Model

    Language:Python5400

  • Unco3892/UncertaintyPlayground

    A Fast and Simplified Python Library for Uncertainty Estimation

    Language:Python5110