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Polymath uses machine learning to convert any music library (e.g from Hard-Drive or YouTube) into a music production sample-library. The tool automatically separates songs into stems (beats, bass, etc.), quantizes them to the same tempo and beat-grid (e.g. 120bpm) and analyzes musical structure (e.g. verse, chorus, etc.), key (e.g C4, E3, etc.) and other infos (timbre, loudness, etc.). The result is a searchable sample library that streamlines the workflow for music producers, DJs, and ML audio developers.




Q What is Polymath?

Polymath is an open-source Python library that provides a variety of algorithms and data structures for solving mathematical problems. It was developed by Samim Mirhosseini to help with research in mathematics and computer science.

Q What kind of problems can Polymath solve?

Polymath can solve a wide range of problems in mathematics, including numerical optimization, linear programming, graph theory, and combinatorial optimization. It also provides functions for working with matrices, vectors, and other mathematical structures.

Q How do I use Polymath?

To use Polymath, you need to have Python installed on your computer. You can install Polymath by running the command "pip install polymath" in your terminal or command prompt. Once installed, you can import the library in your Python code and use its functions and classes to solve mathematical problems. You can find examples of how to use Polymath in the documentation and on its GitHub repository.

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