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

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 **Superseded by the models-by-example repo**.

Efficient phylogenomic software by maximum likelihood

An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.

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

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

Bayesian inference for Gaussian mixture model with some novel algorithms

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

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

Model-based subclonal deconvolution from bulk sequencing.

◽ <- ⚪ Structural Equation Modeling from a broader context.

Mixture of experts on convolutional neural network using Keras and Cifar10

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

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)*

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

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