KI-Musik
moseca
Separate vocals and instruments in the browser with Demucs.
★ 397 SterneMIT
Anleitung ansehen →pymss ist ein Open-Source-Projekt aus der Kategorie KI-Musik von pymss-project (pymss-project/pymss auf GitHub). Es hat 65 Sterne auf GitHub und 7 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 26. September 2026 auf GitHub aktualisiert.
A Python inference package for music source separation models.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Studio-grade sample rates and formats.
Runs on CPU, CUDA, ROCm, Metal, or Vulkan.
Compose and edit with MIDI workflows.
Faithful ports of published models.
Tweak models and pipelines freely.
Splits songs into vocals, drums, bass, and more.
Download the source and move into the project folder.
git clone https://github.com/pymss-project/pymss.git
cd pymssCreate a virtual environment and install the requirements.
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtStart the app or CLI and follow the README examples.
python main.py --helpIt is an open-source project at pymss-project/pymss with 7 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
Yes. It is MIT licensed, so you can use it commercially with attribution.
Typically 44.1–48kHz stereo — good enough for demos and remixes.
Separation and generation run much faster on GPU, but CPU works for short tracks.
Check the model's license — the code license and model weights may differ.
Separate vocals and instruments in the browser with Demucs.
A resource-efficient music source separation model in PyTorch.
Loss functions for training audio source separation models.
A cross-platform desktop GUI for music source separation.
Friendly front-end for local AI music models, packed with quality-of-life touches.
Run splifft locally: lightweight utilities for music source separation and t.
Die anderen Projekte der Kategorie KI-Musik mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls pymss nicht das Richtige ist.
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
🎵 The Ultimate Open Source Suno Alternative - Professional UI for ACE-Step 1.5 AI Music Generation. Free, local, unlimited. Stop paying for Suno!
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 pymss bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Voice-first AI assistant platform with music generation and agent orchestration.
Ai-video-captions, in TypeScript — built for free, open-source ai video caption generat...
Friendly front-end for local AI music models, packed with quality-of-life touches.
Separate music tracks into stems in a web app.
AI-driven music production and post-production in REAPER via MCP.
MCP server that brings Suno music generation into your AI agent.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.