Showing 2 open source projects for "python music"

View related business solutions
  • Stay in Flow. Let Zenflow Handle the Heavy Lifting. Icon
    Stay in Flow. Let Zenflow Handle the Heavy Lifting.

    Your AI engineering control center. Zenflow turns specs into shipped features using parallel agents and multi-repo intelligence.

    Zenflow is your engineering control center, turning specs into shipped features. Parallel agents handle coding, testing, and refactoring with real repo context. Multi-agent workflows remove bottlenecks and automate routine work so developers stay focused and in flow.
    Try free now
  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    The database for AI-powered applications.

    MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
    Start Free
  • 1
    AudioCraft

    AudioCraft

    Audiocraft is a library for audio processing and generation

    AudioCraft is a PyTorch library for text-to-audio and text-to-music generation, packaging research models and tooling for training and inference. It includes MusicGen for music generation conditioned on text (and optionally melody) and AudioGen for text-conditioned sound effects and environmental audio. Both models operate over discrete audio tokens produced by a neural codec (EnCodec), which acts like a tokenizer for waveforms and enables efficient sequence modeling. ...
    Downloads: 5 This Week
    Last Update:
    See Project
  • 2
    Image classification models for Keras

    Image classification models for Keras

    Keras code and weights files for popular deep learning models

    All architectures are compatible with both TensorFlow and Theano, and upon instantiation the models will be built according to the image dimension ordering set in your Keras configuration file at ~/.keras/keras.json. For instance, if you have set image_dim_ordering=tf, then any model loaded from this repository will get built according to the TensorFlow dimension ordering convention, "Width-Height-Depth". Pre-trained weights can be automatically loaded upon instantiation (weights='imagenet'...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next