Discover @kasparmartens Open Source projects

Kaspar Märtens (@kasparmartens)

kasparmartens

Stars
180
Global Rank 133,686 (Top 5 %)
Followers 60
Following 7
Registered over 11 years ago
Most used languages

R
40.0 %

Jupyter Notebook
20.0 %

Python
20.0 %

C++
10.0 %

JavaScript
10.0 %
Location 🇬🇧 United Kingdom
Country Total Rank 6,266
Country Ranking

R
109

Jupyter Notebook
777

Python
2,320

C++
4,739

NeuralProcesses

Neural Processes implementation for 1D regression

BasisVAE

PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders

c-GPLVM

PyTorch implementation of the Covariate-GPLVM

NeuralDecomposition

PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"

Jupyter Notebook

NUTS

HMC No-U-Turn sampler (NUTS) implementation in R

mixtureModels

MCMC for Dirichlet Process mixture models

website

y10k-prediction

Code for our paper: Predicting quantitative traits from genome and phenome with near perfect accuracy

Jupyter Notebook

rarity

Implementarion of Rarity: Discovering rare cell populations from single-cell imaging data

shared-private-multimodalVAE

Code for our paper "Disentangling shared and private latent factors in multimodal Variational Autoencoders"

ensembleFHMM

R package for ensemble MCMC for Factorial Hidden Markov Models