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Python module to model and analyze crystals.

Code and reference files for my Master Thesis with the title "Modelling of a Liquid Leaf Target TNSA Experiment using Particle-In-Cell Simulations and Deep Learning".

Create plots in multiple uniform designs for scientific publications.

Rust API to the OS X Hypervisor framework for hardware-accelerated virtualization

A Python interface to control and communicate with mBot robot kit

Generates a form from a supplied schema.

Python binding to interface VA using the Python scripting language.

Python3 implementation of the Industry 4.0 Asset Administration Shell (according to “Details of the AAS”)

Functionality to enhance Jupyter Notebooks IENT style

ZipGAN is a deep learning framework for compressing and decompressing 3D Direct Numerical Simulation (DNS) datasets of turbulent flows. It uses a Super-Resolution GAN to reconstruct full-resolution DNS fields from compressed (filtered + downsampled) representations, achieving compression ratios of up to 512x while preserving fine-scale turbulence features.