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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.

aihack2020-shell-challenge

awesome-normalizing-flows

Awesome resources on normalizing flows.

boltzmann-generators

Implementation of methods to sample from Boltzmann distributions

cbl-website

CBL website

covid-19-modeling

Modeling the spread of the disease COVID-19

glow-pytorch

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

google-colab-demo

Demo on how to use Google Colab

hmc-hyperparameter-tuning

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

icp

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

mclahe

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

normalizing-flows

PyTorch implementation of normalizing flow models

nsf

Code for Neural Spline Flows paper

reform

A simple implementation of replica exchange MD simulations for OpenMM.

resampled-base-flows

Normalizing Flows with a resampled base distribution

residual-flows

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

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.

soccer-prediction-app

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

soccer-prediction-model

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

stable-diffusion

tf-batch-gather-extension

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