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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 fashionCOVID-19-modeling
Modeling the spread of the disease COVID-19google-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.Love Open Source and this site? Check out how you can help us