GitHub - facebookresearch/audiocraft: Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
GitHub - facebookresearch/audiocraft: Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.https://github.com/facebookresearch/audiocraft

GitHub - facebookresearch/audiocraft: Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

🎵 Dive into the world of audio processing and generation with Audiocraft by facebookresearch! This PyTorch library features cutting-edge EnCodec audio compression and MusicGen for controllable music creation. Explore deep learning research with ease. 🎶🔊 #AI #deeplearning #audioprocessing

  • **Project Name**: Audiocraft
  • **Description**: PyTorch library for deep learning research on audio generation.
  • **Models**: AudioGen, MusicGen, EnCodec, Multi Band Diffusion, MAGNeT.
  • **Requirements**: Python 3.9, PyTorch 2.1.0.
  • **Installation**: Includes torch installation, setuptools, wheel, and ffmpeg recommendation.
  • **Training Code**: Available for EnCodec, MusicGen, Multi Band Diffusion.
  • **API Documentation**: Provided with FAQ section.
  • **License**: Code under MIT license; model weights under CC-BY-NC 4.0 license.
  • **Citation**: Guidelines for citing the framework and specific models.
  • **Contributors**: 29 contributors to the project.
  • **Languages**: Primarily Python (98.8%).