Easy evaluation and plotting of statistical data and high-dimensional distributions in python - Fast generation, loading and storing of custom datasets.

A C++/Thrust/Cuda library for a fast evaluation of high-dimensional sets of ordinary differential equations.

Generic library for the implementation of Markov Chain Monte Carlo simulations.

Python library for the evaluation of simulation data. The library provides functionalities to load simulation results into Python, to perform standard evaluation algorithms for Markov Chain Monte Carlo algorithms. It further can be used to generate a pytorch dataset from the simulation data.

Software project that contains implementations for the most common physical models and update formalisms on a lattice and on a site.

Repository that contains implementations and the evaluation for the MCMC simulation of common physical models and update formalisms on a lattice and on a site.

Parses expressions from Mathematica into a tree of mathematical operations. The tree can be used to generate Code in any programming language to perform the same computation.

Cuda Implementation of a 2D Matrix holding data in a single thrust vector row-by-row

C++ class for an easy loading and saving of class parameters based on json config files. Further useful functions and classes are provided for an easier access to the filesystem.