Vincent Stimper's repositories
normalizing-flows
PyTorch implementation of normalizing flow models
resampled-base-flows
Normalizing Flows with a resampled base distribution
boltzmann-generators
Implementation of methods to sample from Boltzmann distributions
Soccer-Prediction-Model
These are the R scripts used to calculate the model coefficients for the Android application.
hmc-hyperparameter-tuning
Framework to tune the hyperparameters of Hamiltonian Monte Carlo in an automated fashion
AFM-Image-Segmentation
Atomic Force Microscopy (AFM) images with DNA strands and nucleosome can be segmented by Fully Convolutional Neural Networks (FCN). This repository contains scripts to design, train and validate them.
COVID-19-modeling
Modeling the spread of the disease COVID-19
google-colab-demo
Demo on how to use Google Colab
residual-flows
Fork of the of the Residual Flow repository https://github.com/rtqichen/residual-flows which was made installable via pip.
Soccer-Prediction-App
This is an Android application which predicts the results of a German soccer league match.
tf-batch-gather-extension
Extension of the existing batch_gather function in tensorflow to allow a higher dimension of the indices
awesome-normalizing-flows
Awesome resources on normalizing flows.
cbl-website
CBL website
glow-pytorch
pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"
Simulation-of-Phenotype-Switching
Implementation of the model derived in the paper E. Kussell and S. Leibler. Phenotypic diversity, population growth, and information in fluctuating environments. Science, 309(5743):2075–2078, 2005.