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normalizing-flows
PyTorch implementation of normalizing flow modelsmclahe
NumPy and Tensorflow implementation of the Multidimensional Contrast Limited Adaptive Histogram Equalization (MCLAHE) procedureresampled-base-flows
Normalizing Flows with a resampled base distributionicp
Tensorflow implementation of the iterative closest point (ICP) algorithm determining a translation and scaling along specified axesboltzmann-generators
Implementation of methods to sample from Boltzmann distributionsSoccer-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 fashiongoogle-colab-demo
Demo on how to use Google Colabtf-batch-gather-extension
Extension of the existing batch_gather function in tensorflow to allow a higher dimension of the indicesSoccer-Prediction-App
This is an Android application which predicts the results of a German soccer league match.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.Love Open Source and this site? Check out how you can help us