AI Music
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Separate vocals and instruments in the browser with Demucs.
★ 397 starsMIT
View guide →Loss functions for training audio source separation models.
torch-l1-snr is an open-source ai music project by crlandsc (crlandsc/torch-l1-snr on GitHub). It has 45 GitHub stars and 0 forks, is released under the MIT license, and was last updated on GitHub on 1 September 2026.
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.
Splits tracks into isolated stems.
Generate music without cloud APIs.
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.
Download the source and move into the project folder.
git clone https://github.com/crlandsc/torch-l1-snr.git
cd torch-l1-snrCreate 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 crlandsc/torch-l1-snr with 0 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.
A cross-platform desktop GUI for music source separation.
An audio quality metric and loss for training cleaner models.
A curated MIDI dataset built for training precise music AI models.
A WebUI app for Music-Source-Separation-Training and we bundled UVR together!
The most-starred other AI Music projects in the LibreAI catalogue — the realistic shortlist if torch-l1-snr is not the right fit.
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
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Official DiffSinger code: diffusion-based singing voice synthesis and text-to-speech (AAAI 2022)
Use API to call the music generation AI of suno.ai, and easily integrate it into agents like GPTs.
Free and open — grab the source, star the repo, and start creating.