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Unaligned Supervision for Automatic Music Transcription in The Wild
PyTorch implementation of FractalGen https://arxiv.org/abs/2502.17437
Collection of audio-focused loss functions in PyTorch
Source code for BeatNet+ training and inference, pre-trained weights, and prepared dataset annotations for rhythm analysis.
A repo with code generated in the paper: Leveraging Electric Guitar Tones And Effects To Improve Robustness In Guitar Tablature Transcription Modeling
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
A Javascript Library for Music Visualization Using Pitch, Energy, and Timbre. 🪄
A swift and unified toolkit for symbolic music processing
AQUA-Tk = Audio QUality Assessment-Toolkit. (In development)
Self-supervised learning for real-time pitch estimation
Code for the paper "LLark: A Multimodal Instruction-Following Language Model for Music" by Josh Gardner, Simon Durand, Daniel Stoller, and Rachel Bittner.
An invertible and differentiable implementation of the Constant-Q Transform (CQT).
MIDI / symbolic music tokenizers for Deep Learning models 🎶
Vector (and Scalar) Quantization, in Pytorch
Official Repository for ICASSP 2024 Paper "SynthTab: Leveraging Synthesized Data for Guitar Tablature Transcription"
Code for the Million Song Dataset, the dataset contains metadata and audio analysis for a million tracks, a collaboration between The Echo Nest and LabROSA. See website for details.
Pytorch project accompanying the paper "Comparing Deep Models and Evaluation Strategies for Multi-Pitch Estimation in Music Recordings", published in IEEE/ACM Transactions on Audio, Speech & Langua…
JUCE is an open-source cross-platform C++ application framework for desktop and mobile applications, including VST, VST3, AU, AUv3, LV2 and AAX audio plug-ins.
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
Pytorch implementation of the CREPE pitch tracker
Pitch Estimating Neural Networks (PENN)
PyTorch implementation of DiffRoll, a diffusion-based generative automatic music transcription (AMT) model
Convert Machine Learning Code Between Frameworks