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tonet

The official implementation of "TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music"

torch-audiomentations

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

torchcde

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

torchscale

Transformers at any scale

torchsynth

A GPU-optional modular synthesizer in pytorch, 16200x faster than realtime, for audio ML researchers.

towhee

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

tracebase

Multivariate time series forecasting on high-dimensional and sparse Uber movement speed data.

track-list-manager

Harmonic track list maker based on the Camelot key system.

track-list-to-cue-sheet

Convert a list of tracks with elapsed times to a cue sheet

trackboundaries

Automatically detects many audio parameters, and notates a liquidaudio playlist accordingly

trackpack

Packaging of audio files / stems.

transdim

Machine learning for transportation data imputation and prediction.

transformer-physx

Transformers for modeling physical systems

transformeradt

Deep Learning for Audio and Music assignment: A vanilla transformer encoder that does Audio Drum Transcription (ADT) on the Groove Dataset and a VAE to generate synthetic training data

transformergrooveinfilling

Transformer Groove Infilling implementation, part of my Master Thesis: Completing Audio Drum Loops with Transformer Neural Networks, under the supervision of Sergi Jordà and Behzad Haki at the Music Technology Group at the Universitat Pompeu Fabra (Barcelona).

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

transition-analysis

Code for "Reverse-Engineering The Transition Regions of Real-World DJ Mixes using Sub-band Analysis with Convex Optimization" NIME 2021

translation-invariant

A pytorch implementation of translation-invariant network using in music transcription.

traversenet

tree

tree is a library for working with nested data structures

tri-level-vit

[AAAI 2023] Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training

try_git

ts2vec

A universal time series representation learning framework

tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

tsfresh

Automatic extraction of relevant features from time series:

tt-vae-gan

Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.

tutorial

Tutorial covering Open Source tools for Source Separation.

tutorial-1

2021 ISMIR tutorial - music classification

ufo

Official PyTorch implementation of the “A Unified Transformer Framework for Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection”.

ula-statfem

Code to run statistical finite element method (statFEM) experiments with Langevin dynamics.