Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"
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Updated
Jan 20, 2022 - Python
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 **Superseded by the models-by-example repo**.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.
An unsupervised machine learning algorithm for the segmentation of spatial data sets.
Bayesian inference for Gaussian mixture model with some novel algorithms
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024
Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)
◽ <- ⚪ Structural Equation Modeling from a broader context.
Model-based subclonal deconvolution from bulk sequencing.
Implementation of Switch Transformers from the paper: "Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity"
Mixture of experts on convolutional neural network using Keras and Cifar10
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
PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.
My notes for Prof. Klaus Obermayer's "Machine Intelligence 2 - Unsupervised Learning" course at the TU Berlin
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