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abnormal_trajectory_classifier

This repository contains the source code of some published articles related to the detection of abnormal trajectories of moving objects in surveillance videos using unsupervised machine learning approaches.

cvae-gan-zoos-pytorch-beginner

For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.

gitofgithub

test usage of Git

highd_preprocessing

HighD preprocessing

lc_ngsim

lane change trajectories extracted from NGSIM

ngsim-us-101-trajectory-dataset-smoothing

smoothing the NGSIM US-101 trajectory dataset using Savitzky-Golay Filter

ngsim_cleaned_dataset

pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

pyod

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

satp-with-gnn

suod

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

the-gan-zoo

A list of all named GANs!