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Tutorial on Machine Learning  EXCITE 2020 Summer School

Code for numerical experiments in our paper "Robust optimization for models with uncertain SOC and SDP constraints"


This is a small toy example to experiment with Deep QLearning.

simulates the SNR of NMR and MRI experiments depended on various parameters

Implementation of Riemann kernel in pure C using EISPACK.

This is a heap for sharing projects

This repository contains the code required for the exercises of Deep Learning for Autonomous Driving (DLAD)


Recreating arXiv Citation Graph using Recurrent Neural Networks

Meshing tool to create computational grids for BASEMENT using TRIANGLE (by Shewchuk) as meshing algorithm.

A approach for parallel backup of large mountpoints by running "partial incremental backups" parallel

Upstream area hydrological routing.

A simple PLL implementation for redpitaya. Used for parametric feedback cooling a leviatated nanoparticle.


A handson Julia introduction