Popular GitHub Repositories for Animal Behaviour

OpenMMLab Pose Estimation Toolbox and Benchmark.

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

Diffusion-based Portrait and Animal Animation

Code repository for the Animal AI Olympics competition

a toolkit for pose estimation using deep learning

Machine learning games. Use combination of genetic algorithms and neural networks to control the behaviour of in-game objects.

Easy and fast 2d human and animal multi pose estimation using SOTA ViTPose [Y. Xu et al., 2022] Real-time performances and multiple skeletons supported.

A wrapper of LLMs that biases its behaviour using prompts and contexts in a transparent manner to the end-users

The code for a short tutorial on how to create a simple guard AI using behaviour trees in Unity/C# (in text or video format)!

??? Latest Advances on Large Recommendation Models

Deep active inference agents using Monte-Carlo methods

A neural network framework for researchers studying acoustic communication

Animal-AI supports interdisciplinary research to help better understand human, animal, and artificial cognition.

[ECCV 2024 Oral] PetFace: A Large-Scale Dataset and Benchmark for Animal Identification https://arxiv.org/abs/2407.13555

Koogu is a Python package for developing and using Machine Learning (ML) solutions in Animal Bioacoustics.

WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans

Maximum likelihood analysis Of animal MovemENT behavior Using multivariate Hidden Markov Models

? This repository houses a collection of image classification models for various purposes, including vehicle, object, animal, and flower classification. Each classifier is built using deep learning techniques and pre-trained models to accurately identify and categorize images based on their respective classes. Also includes a sample Flask backend!

Visual behaviour & AI design tool for Unity.