shyamblast / Koogu
Koogu is a Python package for developing and using Machine Learning (ML) solutions in Animal Bioacoustics.
☆44Updated last year
Alternatives and similar repositories for Koogu:
Users that are interested in Koogu are comparing it to the libraries listed below
- ☆10Updated 3 weeks ago
- An Animal Independent Deep Learning Framework for Bioacoustic Signal Segmentation and Classification Including a Detailed User-Guide☆40Updated 9 months ago
- A list of free and paid software available for bioacoustic analyses☆96Updated last month
- This repository gathers the list of online publicly available bioacoustics datasets that can be used together with deep learning.☆29Updated 3 weeks ago
- Pre-trained models for bioacoustic classification tasks☆35Updated this week
- Audio Annotation Tool for ML development☆40Updated last month
- A graphical user interface for annotating and editing events detected in long-term acoustic monitoring data☆23Updated last year
- Open source, scalable software for the analysis of bioacoustic recordings☆144Updated this week
- Unsupervised classification to improve the quality of a bird song recording dataset. https://doi.org/10.1016/j.ecoinf.2022.101952☆24Updated 2 months ago
- Scripps Whale Acoustics Lab Scripps Acoustic Ecology Lab - Triton with remoras in development☆41Updated last month
- Open-source and modular toolbox for quantitative soundscape analysis in Python☆109Updated this week
- Web application for ecoacoustics that archives and organises soundscape collections, hosts reference recording collections, generates nav…☆17Updated 2 years ago
- Scan audio recordings for bird sounds and generate Audacity label files☆12Updated this week
- Web application for ecoacoustics to manage, navigate, visualise, annotate, and analyse soundscape recordings.☆21Updated 3 weeks ago
- A python library for animal vocalisation analysis☆31Updated 2 months ago
- AnuraSet: A dataset for classification of tropical anurans from passive acoustic monitoring☆24Updated 3 months ago
- Resources, tips, and tricks to get the most out of your AudioMoth ARUs☆83Updated 2 months ago
- Python Passive Acoustic Analysis tool for Passive Acoustic Monitoring (PAM)☆42Updated 2 weeks ago
- ☆56Updated 2 months ago
- A quantitative report of audio recording quality for the AudioMoth☆15Updated last year
- Acoustic indices in python☆44Updated last year
- An R package for the detection and classification of acoustic signals using machine learning☆14Updated 2 months ago
- An R package for NSNSD bioacoustics workflows, including functions for using BirdNET and converting to sound pressure levels☆24Updated this week
- Koe: open-source software to visualise, segment and classify acoustic units in animal vocalisations☆40Updated 9 months ago
- Platform for visualisation of sound clips and results from machine learning algorithms☆14Updated 9 months ago
- A Toolbox for Animal Detection on Acoustic Recordings Integrating Discriminant Analysis - Classification part☆20Updated 8 months ago
- Python code for bat call detection in full spectrum audio files.☆68Updated last year
- ORCA-SPOT: An Automatic Killer Whale Sound Detection Toolkit Using Deep Learning☆27Updated 2 years ago
- Python notebooks for training and implementing a convolutional neural network for multi-label classification of sound recordings☆11Updated last year
- Detection, Classification, and Localisation of marine mammal and other bioacoustic signals☆41Updated this week