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Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"
Updated
Mar 24, 2020
Python
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
Updated
Jul 2, 2020
Python
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms.
Efficient phylogenomic software by maximum likelihood
Bayesian inference for Gaussian mixture model with some novel algorithms
Updated
May 28, 2018
Python
An unsupervised machine learning algorithm for the segmentation of spatial data sets.
Updated
Nov 21, 2019
Jupyter Notebook
Updated
Aug 30, 2019
Jupyter Notebook
Distributed MCMC Inference in Dirichlet Process Mixture Models
Updated
May 24, 2020
Julia
Updated
Jan 31, 2019
Python
A quick reference for how to run many models in R.
Mixture of experts on convolutional neural network using Keras and Cifar10
Mixtures of Multivariate Poisson-Log Normal Model for Clustering Count Data
An HMM and Phylogenetic Placement based Ultra-Fast Taxonomy Assignment Tool for 16S sequencing
TSMC course materials for unsupervised learning
Updated
Aug 11, 2017
Jupyter Notebook
Model-based clustering package for mixed data
Split-population duration model in R
A friendly Python library for multistate analysis with MICS and MBAR
Updated
Feb 3, 2019
Python
Implement the Kasahara-Shimotsu Test to decide number of components in Gaussian Mixture Model.
Updated
Mar 25, 2019
Julia
Updated
Jan 13, 2018
HTML
Gaussian mixture modelling - Unsupervised learning
Machine Learning Assignments (UvA '15 '16)
Updated
May 21, 2016
Jupyter Notebook
MultiVariate Polygenic Mixture Model
My notes for Prof. Klaus Obermayer's "Machine Intelligence 2 - Unsupervised Learning" course at the TU Berlin
Gaussian Parsimonious Clustering Models with Gating and Expert Network Covariates
Adaptive Mixture of Student-t distributions
Updated
Apr 13, 2020
Python
Directional Co-clustering with a Conscience (DCC)
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Boost.Pythonis hard to maintain, understand, and its hard to get working with numpy. Its probably worth replacing withpybind11: https://github.com/wjakob/pybind11