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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
JS Library for user behaviour tracking from the browser, using mouse movements, clicks, scroll, and time on page.
live, low-latency markerless multi-camera 3D animal tracking system
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