Polymath

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Introduction：: Machine learning tool for converting music libraries into sample libraries.

Added on：: 2025-01-13

Monthly Visitors：: 424.8M

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URL：: https://github.com/samim23/polymath

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Polymath Product Information

What is Polymath?

Polymath is a music production tool that uses machine learning to convert any music library into a searchable sample library.

How to use Polymath?

To use Polymath, simply upload your music library from your Hard-Drive or YouTube. The tool will automatically separate the songs into stems, quantize them to the same tempo and beat-grid, and analyze the musical structure and other musical information.

Polymath's Core Features

Machine learning-based music production tool
Converts music library into a sample library
Automatically separates songs into stems and quantizes them
Analyzes musical structure, key, and other information
Streamlines workflow for music producers, DJs, and ML audio developers

Polymath's Use Cases

#1 Music production
#2 Sample library creation
#3 DJ sets
#4 ML audio development

FAQ from Polymath

What formats of music libraries does Polymath support?: Polymath supports music libraries from Hard-Drive and YouTube.

Can Polymath handle any tempo and beat-grid?: Yes, Polymath can quantize songs to the same tempo and beat-grid.

Does Polymath provide any information about the analyzed music?: Yes, Polymath analyzes musical structure, key, and other musical information.

Who can benefit from using Polymath?: Polymath is designed to streamline the workflow for music producers, DJs, and ML audio developers.

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Polymath Analytic

Polymath Website Traffic Analysis

Visit Over Time

Monthly Visits 424.8M

Avg.Visit Duration 438.62

Page per Visit 6.35

Bounce Rate 39%: Jan 2024-Apr 2025 All Traffic

Geography

Top 5 Regions

China 61513686

India 38658465

Japan 16355503

Germany 14443822

United States 68268297: Jan 2024-Apr 2025 Desktop Only

Traffic Sources

Mail 4.4M

Direct 218.8M

Search 119.9M

Social 30.4M

Referrals 51.2M

PaidReferrals 121.7K: Jan 2024-Apr 2025 Desktop Only

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