VincentStimper/Soccer-Prediction-Model

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R
Created almost 8 years ago
Updated over 7 years ago

VincentStimper/Soccer-Prediction-Model

VincentStimper

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

normalizing-flows

PyTorch implementation of normalizing flow models

mclahe

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

resampled-base-flows

Normalizing Flows with a resampled base distribution

icp

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

boltzmann-generators

Implementation of methods to sample from Boltzmann distributions

hmc-hyperparameter-tuning

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

COVID-19-modeling

Modeling the spread of the disease COVID-19

Jupyter Notebook

google-colab-demo

Demo on how to use Google Colab

Jupyter Notebook

tf-batch-gather-extension

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

Soccer-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.