Python library providing function decorators for configurable backoff and retry

Code for the paper Hybrid Spectrogram and Waveform Source Separation

The interoperable, open source catalog for Apache Iceberg

Fundamentals of electrical machines and drives course material

Open, Multi-modal Catalog for Data & AI

REST API for any Postgres database

Open Source Github Homepage for the Internet's Best Fermi Questions Practice Test

A showcase of quantum neural network PQC's trained to perform binary classification.

Scalable Reduced Order Model with Discontinuous Galerkin Domain Decomposition

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

Meta Reinforcement Learning-Based CurrentControl of Permanent Magnet Synchronous MotorDrives for a Wide Range of Power Classes

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

A time domain electrical energy grid modeling and simulation tool with a focus on the control of power electronics converters

A fast FEM solver entirely written in Python

Data product portal created by Dataminded

Obsidian 🤝 Neovim

Python scripts to use PyMFEM

Generates MFEM compatible meshes from step files.

alphaTab is a cross platform music notation and guitar tablature rendering library.

A brushless motor and driver built in to a business card form-factor for learning and experimenting!

🔍 A Hex Editor for Reverse Engineers, Programmers and people who value their retinas when working at 3 AM.

Apache DataFusion SQL Query Engine

🚀 A lightweight, framework-agnostic database migration tool.

A collection of modern/faster/saner alternatives to common unix commands.

A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by different number of mesh nodes.

Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."

An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification

📚 Freely available programming books

Magnetic Agnostic Structure