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

Efficient phylogenomic software by maximum likelihood

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 **Superseded by the models-by-example repo**.

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

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

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

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

PiKV: KV Cache Management System for Mixture of Experts [Efficient ML System]

Bayesian inference for Gaussian mixture model with some novel algorithms

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

◽ <- ⚪ 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