Muspy
Visit ToolMusPy is an open-source Python library for symbolic music generation. It provides essential tools for developing music generation systems, including dataset management, data I/O, and model evaluation.
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MusPy is an open-source Python library for symbolic music generation. It provides essential tools for developing music generation systems, including dataset management, data I/O, and model evaluation.
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About
MusPy is an open-source Python library designed to streamline the development of symbolic music generation systems. It offers a comprehensive suite of tools for various stages of the music generation pipeline, from data collection and preprocessing to model creation, training, and evaluation. Key features include a robust dataset management system with interfaces to PyTorch and TensorFlow, and extensive data I/O capabilities for common symbolic music formats like MIDI, MusicXML, and ABC. MusPy also provides implementations of various music representations, such as pitch-based, event-based, piano-roll, and note-based, catering to diverse generation approaches. Additionally, it includes model evaluation tools for audio rendering, score and piano-roll visualizations, and objective metrics, making it a valuable resource for researchers and developers in music AI.
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