Vincent Stimper (VincentStimper)

VincentStimper

Geek Repo

Company:University of Cambridge, Max Planck Institute for Intelligent Systems

Location:Tübingen, Germany

Home Page:https://is.mpg.de/person/vstimper

Twitter:@VStimper

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Vincent Stimper's repositories

normalizing-flows

PyTorch implementation of normalizing flow models

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mclahe

NumPy and Tensorflow implementation of the Multidimensional Contrast Limited Adaptive Histogram Equalization (MCLAHE) procedure

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resampled-base-flows

Normalizing Flows with a resampled base distribution

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icp

Tensorflow implementation of the iterative closest point (ICP) algorithm determining a translation and scaling along specified axes

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boltzmann-generators

Implementation of methods to sample from Boltzmann distributions

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Soccer-Prediction-Model

These are the R scripts used to calculate the model coefficients for the Android application.

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hmc-hyperparameter-tuning

Framework to tune the hyperparameters of Hamiltonian Monte Carlo in an automated fashion

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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.

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COVID-19-modeling

Modeling the spread of the disease COVID-19

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google-colab-demo

Demo on how to use Google Colab

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residual-flows

Fork of the of the Residual Flow repository https://github.com/rtqichen/residual-flows which was made installable via pip.

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Soccer-Prediction-App

This is an Android application which predicts the results of a German soccer league match.

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tf-batch-gather-extension

Extension of the existing batch_gather function in tensorflow to allow a higher dimension of the indices

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awesome-normalizing-flows

Awesome resources on normalizing flows.

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cbl-website

CBL website

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glow-pytorch

pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"

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nsf

Code for Neural Spline Flows paper

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reform

A simple implementation of replica exchange MD simulations for OpenMM.

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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.

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