26 Open source projects that are alternatives of or similar to Crowd_Behavior_Analysis

Helm charts for Atlassian's Data Center products

CROWD - Delta based CRDT with additional abilities.

Recorded tracks visualization plugin built on Unreal Engine. Airsim compatible.

Reconstruction of complex single-cell trajectories using CellRouter

Official implementation codes of "Regularizing neural networks for future trajectory prediction via IRL framework"

Python interface of cpptraj

Sonatype Nexus plugin for Atlassian Crowd integration

Headless DeepLabCut (no GUI support)

Social Signal Processing for Android

A deep learning framework for multi-animal pose tracking.

🗺 This is a service class application software that for the poor areas which have bad traffic safety,the crowd which have lower safety awareness and the people which go out to an unfamiliar place.

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

Motion Planner for Self Driving Cars

Python tools for spatial trajectory and time-series data analysis

Collective Knowledge extension to crowdsource bug detection in OpenCL compilers using CLSmith tool from Imperial College London

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

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

Crowdsourced fuzzing cluster. 🚀

天池DCIC2020船只轨迹数据挖掘比赛算法阶段Rank 3解决方案：

MDAnalysis tool to calculate membrane curvature.

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

Python package designed for collecting and processing trajectory data.

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

A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.

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

Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets