Pinned Repositories
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
YJJ1125's Repositories
YJJ1125/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.
YJJ1125/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.
YJJ1125/GITofgithub
test usage of Git
YJJ1125/HighD_Preprocessing
HighD preprocessing
YJJ1125/LC_NGSIM
lane change trajectories extracted from NGSIM
YJJ1125/NGSIM-US-101-trajectory-dataset-smoothing
smoothing the NGSIM US-101 trajectory dataset using Savitzky-Golay Filter
YJJ1125/NGSIM_Cleaned_Dataset
YJJ1125/pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
YJJ1125/pyod
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
YJJ1125/SATP-with-GNN
YJJ1125/SUOD
(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
YJJ1125/the-gan-zoo
A list of all named GANs!