There are 2 repositories under bioacoustics topic.
BirdNET analyzer for scientific audio data processing.
Open-source and modular toolbox for quantitative soundscape analysis in Python
Realtime BirdNET soundscape analyzer
Koogu is a Python package for developing and using Machine Learning (ML) solutions in Animal Bioacoustics.
Tools of soundscape information retrieval, this repository is a developing project. Please go to https://github.com/meil-brcas-org/soundscape_IR for full releases.
Using machine learning to detect beluga whale calls in hydrophone recordings
Real-time AI-assisted killer whale notification system (model and moderator portal) :star:
Multi-species bioacoustic classification using deep learning algorithms
An open toolbox of soundscape information retrieval
Audio Annotation Tool for ML development
R package for NSNSD bioacoustics workflows, including functions for using BirdNET and generating acoustic indices
Electron app for sound file analysis with BirdNET.
Fully automated machine learning pipeline for bird sound recognition
Tools for annotating and processing bioacoustic recordings
AI powered audio analyser for bird call visualisation, detection and cataloguing
An open-source package providing standardized tools for sound event analysis and data management.
banter is a package for creating hierarchical acoustic event classifiers out of multiple call type detectors.
A Python wrapper for Tadarida-D: A Toolbox for Animal Detection on Acoustic Recordings
wildRtrax is an R package for environmental sensor data management and analytics
Source code for BMBF InnoTruck demo of BirdNET.
User-friendly web framework for sharing and collaborative labeling of bioacoustic data
Carlos Abrahams Bioacoustics and Ecoacoustics training course materials
Simple Python utility for parsing AudioMoth metadata