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sheetsage

Transcribe music into lead sheets!

sigsep-mus-db

Python parser and tools for MUSDB18 Music Separation Dataset

sigsep-mus-mdbconvert

simpac-2022-270

A Python module for finding the prototype in large sets of time series

simpfs_spectral

Simple Pooling Front-ends for Efficient Audio Calssification

simple-asgan

Training code and trained checkpoints for ASGAN.

sincnet

SincNet is a neural architecture for efficiently processing raw audio samples.

sindy-pi

SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics

sklearn-audio-transfer-learning

A didactic toolkit to rapidly prototype audio classifiers with pre-trained Tensorflow models and Scikit-learn

skorch

A scikit-learn compatible neural network library that wraps PyTorch

sktime

A unified framework for machine learning with time series

smartplaylist-backend

Build smart playlists, based on tracks' audio analysis, and other parameters. Filter newest tracks, that go together well in a DJ set.

smoothg

Mixed graph Laplacian upscaling and solvers

sms-tools

Sound analysis/synthesis tools for music applications

song-recognition

Full-stack song recognition application with audio fingerprinting and hum to search (QbSH) modules

songdjing

An algorithm implemented for a smooth flow of two songs (research paper http://ismir2009.ismir.net/proceedings/PS1-14.pdf )

sonnet

TensorFlow-based neural network library

sota-music-tagging-models

source-separation-wavenet

A neural network for end-to-end music source separation

spacy-transformers

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

spafe

:sound: spafe: Simplified Python Audio Features Extraction

sparserandommodedecomposition

Sparse Random Mode Decomposition

sparse_attention

Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

sparse_continuous_distributions

This repository provides open-source code for sparse continuous distributions and corresponding Fenchel-Young losses.

spectnet

Heart Sound Classification

spectranet

spectromap

SpectroMap is a peak detection algorithm that computes the constellation map for a given signal

spham

[ICLR 2022] Huber Additive Models for Non-stationary Time Series Analysis

spinvae

spleeter

Deezer source separation library including pretrained models.