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 list of Human-Object Interaction Learning.

A deep learning framework for multi-animal pose tracking.

Owlyshield is an EDR framework designed to safeguard vulnerable applications from potential exploitation (C&C, exfiltration and impact).

a toolkit for pose estimation using deep learning

Accelerated pose estimation and tracking using semi-supervised learning

Behavioral Observation Research Interactive Software

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.

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

Motion Planner for Self Driving Cars

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

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

JS Library for user behaviour tracking from the browser, using mouse movements, clicks, scroll, and time on page.

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

Use iterative feature pruning to identify hierarchical clusters.

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

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

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs