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Inference-only version of SheetSage for music transcription with vendored Jukebox modules
HeartMuLa Official Repo: The Most Powerful Open-Source Music Generation Model of 2026
This is a lightweight, dependency-minimal repackaging of MAEST focused solely on inference.
Inference-only implementation of OpenAI Jukebox for modern PyTorch (2.7+)
demucs-infer is a streamlined, inference-only version of Demucs by Meta AI Research, optimized for PyTorch 2.x with minimal dependencies.
Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion
"Fx-Encoder++: Extracting Instrument-wise Audio Effect Representations from Mixtures"
Containing SOTA methods that follows time-varying conditions for Text-to-Music
Headless multitrack mixing console in Python
The repository provides code for running inference with the Meta Segment Anything Audio Model (SAM-Audio), links for downloading the trained model checkpoints, and example notebooks that show how t…
Automatic transcription of drum audio to MIDI, using minimal dependencies (torch, librosa, pretty_midi)
Repository for paper templates in ISMIR Proceedings
Chord and accompaniment generator, pure python package that generate chord progression and accompaniment according to given melodies. Code for paper AccoMontage2: A Complete Harmonization and Accom…
A collection of AWESOME things about mixture-of-experts
collection for free openai keys to use in your projects
A collection of web interfaces for AI-assisted interactive music creation
Production-ready, unified inference toolkit for the MT3 music transcription model family
An enhanced version of All-In-One with integrated source separation and modern PyTorch compatibility
A high-quality chord recognition system capable of transcribing complex chord progressions from audio recordings using deep learning.
Repository of the ISMIR'24 paper "Cue Point Estimation using Object Detection"
Fetch sample information from WhoSampled webpage.