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Lifting From The Deep Release ⭐ 391

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

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

Miscellaneous R Code ⭐ 140

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.

Libcluster ⭐ 119

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 for Gaussian mixture model with some novel algorithms

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

A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods.

Coursera Uw Machine Learning Clustering Retrieval ⭐ 21

Torch Reparametrised Mixture Distribution ⭐ 14

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

A toolbox for inference of mixture models

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