Музыка с ИИ
moseca
Separate vocals and instruments in the browser with Demucs.
★ 397 звёздMIT
Смотреть руководство →AI-Drum-Machine — проект с открытым исходным кодом из категории «Музыка с ИИ» от zengjingting (zengjingting/AI-Drum-Machine на GitHub). У него 52 звезды на GitHub и 1 форк, он распространяется по лицензии Custom и последний раз обновлялся на GitHub 31 августа 2026.
An ESP32 hardware metronome with a web UI.
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.
Describe a track and get audio back.
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/zengjingting/AI-Drum-Machine.git
cd AI-Drum-MachineCreate 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 zengjingting/AI-Drum-Machine with 1 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
The project uses a custom license — read the LICENSE file in the repo before commercial use.
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 curated compilation of AI-driven generative music resources and projects. Explore the blend of machine learning algorithms and musical creativity.
Extensible Python voice assistant with music control and a web interface.
Separate music tracks into stems in a web app.
Другие проекты из категории «Музыка с ИИ» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если AI-Drum-Machine 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 AI-Drum-Machine — продолжайте изучать полку по обе стороны от него.
MCP server for AI-generated MIDI — text in, compositions out.
An audio quality metric and loss for training cleaner models.
Terminal client for Suno v5.5 — tags, vocal control, and full generation flags.
Open-source AI music SaaS: full tracks with cover art from a text prompt.
Extensible Python voice assistant with music control and a web interface.
Run splifft locally: lightweight utilities for music source separation and t.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.