KI-Musik
midi-mcp-server
MCP server for AI-generated MIDI — text in, compositions out.
★ 54 SterneMIT
Anleitung ansehen →Tegridy-MIDI-Dataset ist ein Open-Source-Projekt aus der Kategorie KI-Musik von asigalov61 (asigalov61/Tegridy-MIDI-Dataset auf GitHub). Es hat 296 Sterne auf GitHub und 21 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 21. September 2026 auf GitHub aktualisiert.
A curated MIDI dataset built for training precise music AI models.
Check the README for what the dataset contains and its structure.
Grab the MIDI files or clone the full repository.
Use the included converters and parsers to format MIDI for training.
Feed the prepared data into your music AI training pipeline.
A dataset assembled specifically for music AI work.
Multi-track MIDIs for richer model training.
Tools to convert MIDI formats for your pipeline.
Parse and inspect MIDI files in Python.
Includes karaoke-style MIDI content.
Designed for composition and generation models.
Download the dataset and its tools.
git clone https://github.com/asigalov61/Tegridy-MIDI-Dataset.git
cd Tegridy-MIDI-DatasetSet up the environment for the MIDI utilities.
pip install -r requirements.txtList the MIDI files and try the parser tools.
ls | head -20A curated MIDI dataset for creating precise music AI models, maintained at asigalov61/Tegridy-MIDI-Dataset.
Yes. It is Apache-2.0 licensed.
MIDI files, including multi-track and karaoke-style content, plus conversion tools.
No. It is data plus Python utilities; training models is the compute-heavy part.
Researchers and builders training music composition or generation models.
MCP server for AI-generated MIDI — text in, compositions out.
Agent skill that turns text descriptions into real MIDI compositions.
Research code for instruction-based text-to-music editing of music models.
Local AI music studio: ACE-Step plus YuE2, stems, MIDI, and a built-in DAW.
Compose multi-track MIDI with Gemini and DeepSeek.
An audio quality metric and loss for training cleaner models.
Die anderen Projekte der Kategorie KI-Musik mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls Tegridy-MIDI-Dataset nicht das Richtige ist.
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
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ACE-Step — the open foundation model for music generation: full songs with vocals and lyrics in 19 languages, up to 4 minutes in about 20 seconds, Apache-2.0
Official DiffSinger code: diffusion-based singing voice synthesis and text-to-speech (AAAI 2022)
Stable Audio Tools — training and inference code for Stability's audio generation models, including Stable Audio Open, MIT
Verwandte Projekte der Kategorie KI-Musik im Katalog, die Tegridy-MIDI-Dataset bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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