A small library of music video “generators” — self-contained pages with audio-reactive visuals, recorded alongside a finished track to produce a video for it.

Five generators so far, each its own scene: party-stage (a modern virtual venue — DJ, crowd, lasers, light bars, and a projection screen running one of several shader visualizers picked at runtime), party-cathedral (a torch-lit medieval hall with illustrated performers), tv-player (a quieter in-room TV/VCR scene with small ambient effects), magic-mirror, and sparkles, the original and simplest of the set.

Built almost entirely through AI pair-programming (Gemini) rather than by hand, and deliberately structured for that: every stage element and visualizer sits behind a small, uniform interface and a single registry, so the AI can extend one self-contained file at a time instead of reasoning about — and risking breaking — one big scene.

Status: Finished, and growing whenever a new song needs a video.

Project page: https://git.dejvino.cz/dejvino/music-video-gen

My Master Thesis software suite. The aim was to create a high-performance correlation computation software + visualisation framework for large datasets.

vizualizaceMultipleSignalsMap

Corrputer

Correlation computation software. Written in C++ with focus on high performance, uses MPI for running on any kind of setup, from one to many computers.

Source code: git.dejvino.cz/masterserver

Visputer

Data visualisation framework in Python built on top of PyQtGraph. It interconnects with Corrputer quite nicely.

Source code: git.dejvino.cz/mastervis