behavior-analysis

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

A selection of state-of-the-art research materials on trajectory prediction

a toolkit for pose estimation using deep learning

A list of Human-Object Interaction Learning.

A deep learning framework for multi-animal pose tracking.

Owlyshield is an AI antivirus engine written in Rust.

Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is a pipeline that pairs unsupervised pattern recognition with supervised classification to achieve fast predictions of behaviors that are not predefined by users.

Motion Planner for Self Driving Cars

Variational Animal Motion Embedding - A tool for time series embedding and clustering

Behavioral Observation Research Interactive Software

Various scripts to support deeplabcut and what to do afterwards!

Open-source datasets for anyone interested in working with network anomaly based machine learning, data science and research

Use iterative feature pruning to identify hierarchical clusters.

live, low-latency markerless multi-camera 3D animal tracking system

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

Closed-loop behavioral experiment toolkit using pose estimation of body parts.

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

Crowd behavior analysis is an important field of research in modern world. It has wide applications in surveillance and public safety which are one of the prime social concerns. One way to analyze crowd behavior is obtain crowd movement data and then find out outliers in the individual trajectories to infer any abnormal behavior in the crowd.

Headless DeepLabCut (no GUI support)

SIPEC: the deep-learning Swiss knife for behavioral data analysis