moseca
Separate vocals and instruments in the browser with Demucs.
pymss — проект с открытым исходным кодом из категории «Музыка с ИИ» от pymss-project (pymss-project/pymss на GitHub). У него 65 звёзд на GitHub и 7 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 26 сентября 2026.
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.
Другие проекты из категории «Музыка с ИИ» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если pymss вам не подходит.
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
Соседние проекты из категории «Музыка с ИИ» в каталоге, ближайшие по числу звёзд к pymss — продолжайте изучать полку по обе стороны от него.
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.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.