GitHub - samim23/polymath: Convert any music library into a music production sample-library with ML

🎶🤖 Dive into the world of music production like never before with Polymath! 🎵🔥 This AI tool uses machine learning to convert any music library into a sample-library, separate stems, analyze musical elements, and more. Perfect for DJs, composers, and ML developers. 🎧🎹 #AI #MusicProduction #ML #Polymath

**Project Name:** Polymath
**Description:** Converts any music library into a music production sample-library using machine learning.
**Features:** Separates songs into stems, quantizes to the same tempo, analyzes musical structure, key, timbre, loudness, etc., and converts audio to MIDI.
**Use Cases:** Facilitates creating new compositions by combining elements from various songs effortlessly. Enables creating mash-up DJ sets quickly. Simplifies creating large music datasets for ML developers.
**Technical Details:** Utilizes neural networks like Demucs, sf_segmenter, Crepe, pyrubberband, librosa for tasks like source separation, structure segmentation, pitch tracking, key detection, MIDI transcription, quantization, alignment, and info retrieval.
**Requirements:** Python >=3.7 and <=3.10, ffmpeg, GPU support through cuda for native setups.
**Installation:** Clone the repository and install requirements using pip.
**Docker Support:** Dockerfile provided for easy setup; allows input/output file exchange between host system and container.
**Usage:** Add songs to the library, quantize songs, search for similar songs, and convert audio to MIDI using specific commands.
**License:** Released under the MIT license.
**Community:** Join the Polymath community on Discord.