mixture-model
There are 114 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"
SPFlow/SPFlow
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
Cibiv/IQ-TREE
Efficient phylogenomic software by maximum likelihood
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 **Superseded by the models-by-example repo**.
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.
mahmoodlab/PANTHER
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024
kyegomez/SwitchTransformers
Implementation of Switch Transformers from the paper: "Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity"
cgre-aachen/bayseg
An unsupervised machine learning algorithm for the segmentation of spatial data sets.
junlulocky/PyBGMM
Bayesian inference for Gaussian mixture model with some novel algorithms
BGU-CS-VIL/DPMMSubClusters.jl
Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)
caravagnalab/mobster
Model-based tumour subclonal deconvolution using population genetics
m-clark/sem
:white_medium_small_square: <- :white_circle: Structural Equation Modeling from a broader context.
shibuiwilliam/mixture_of_experts_keras
Mixture of experts on convolutional neural network using Keras and Cifar10
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)*
vsimkus/torch-reparametrised-mixture-distribution
PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.
anjalisilva/MPLNClust
R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model
kashefy/mi2notes
My notes for Prof. Klaus Obermayer's "Machine Intelligence 2 - Unsupervised Learning" course at the TU Berlin
m-clark/R-models
A quick reference for how to run many models in R.
modal-inria/MixtComp
Model-based clustering package for mixed data
Grice-Lab/HmmUFOtu
An HMM and Phylogenetic Placement based Ultra-Fast Taxonomy Assignment Tool for 16S sequencing
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)
itsayushthada/Bayesian-Statistics
Bayesian Statistics with R [Gibbs Sampling, Metrapolis Hastings, Regression, Logistic Regression, Poisson Regression, Multi Factor Anova, Hierarchical Modelling, Mixture Models]
magister-informatica-uach/INFO337
Herramientas estadísticas para la investigación
cbg-ethz/clustNet
Network-based clustering
craabreu/mics
A friendly Python library for multistate analysis with MICS and MBAR
rivas-lab/mvpmm
MultiVariate Polygenic Mixture Model
vllab/TSMC_DL
TSMC course materials for unsupervised learning
bghojogh/Fitting-Mixture-Distribution
The code for fitting a mixture distribution to data and Gaussian Mixture Model (GMM)
doraadong/MESSI
A predictive framework to identify signaling genes active in cell-cell interaction
Ignotus/uva-machine-learning
Machine Learning Assignments (UvA '15 '16)
Unco3892/UncertaintyPlayground
A Fast and Simplified Python Library for Uncertainty Estimation
hahnec/multimodal_emg
Multimodal Exponentially Modified Gaussians with Optional Oscillation
PreferredAI/plrmm
Plackett-Luce Regression Mixture Model