A curated list of awesome self-supervised methods

A dataset of datasets for learning to learn from few examples

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

Drag and drop source/target for X

An extremely fast Python package installer and resolver, written in Rust.

MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.

iNatSounds Dataset

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

This repo contains the evaluation code for the INQUIRE benchmark

Wasp Nest IoT Monitoring System

Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.

Music Audio Representation Benchmark for Universal Evaluation

A python api for BirdNET-Lite and BirdNET-Analyzer

PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

an accessor for xarray objects that interprets CF attributes

Scripts for: Automated speech detection in eco-acoustic data enables privacy protection and human disturbance quantification.

The official implementation of A-CPD from the paper "From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning".

Official repository for the paper TRIDENT: Transductive Decoupled Variational Inference for Few Shot Classification

Collection of audio-focused loss functions in PyTorch

Python version of http:https://www.ee.columbia.edu/ln/rosa/matlab/gammatonegram/

A library built for easier audio self-supervised training, downstream tasks evaluation

An extremely fast Python linter and code formatter, written in Rust.

Web application for ecoacoustics to manage, navigate, visualise, annotate, and analyse soundscape recordings.

Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.

A new markup-based typesetting system that is powerful and easy to learn.

Mixing an audio file with a noise file at any Signal-to-Noise Ratio (SNR)

A simple library for Fréchet Audio Distance (FAD) calculation