├── .DS_Store ├── .Rhistory ├── README.md ├── Unsupervised anomaly detection using variational autoencoders - assessing road conditions for lira project.pdf ├── VAE_LSTM_model.ipynb └── reconstruct_anomali.png /.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LauJohansson/AnomalyDetection_VAE_LSTM/62078275e0f03bf94c735f7ac7cdfe57297ff569/.DS_Store -------------------------------------------------------------------------------- /.Rhistory: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LauJohansson/AnomalyDetection_VAE_LSTM/62078275e0f03bf94c735f7ac7cdfe57297ff569/.Rhistory -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Anomaly Detection using Variational Autoencoder LSTM 2 | 3 | ***Authors: Jonas Søbro Christophersen & Lau Johansson***

4 | 5 | 6 | This repository contains hand-in assignment for the DTU course 02460 Advanced Machine Learning. 7 | 8 | This notebook is a implementation of a variational autoencoder which can detect anomalies unsupervised. 9 | 10 | ![alt text](https://github.com/LauJohansson/AnomalyDetection_VAE_LSTM/blob/8324116db1606b10406e1c45f18100e6eaf7da5a/reconstruct_anomali.png?raw=true) 11 | 12 | It is inspired by the approach proposed by J. Pereira and M. Silveira in paper "Unsupervised Anomaly Detection in Energy Time Series Data Using Variational Recurrent Autoencoders with Attention". Find it [here](https://ieeexplore.ieee.org/document/8614232) 13 | 14 | The code has taken inspiration in [Pytorch's VAE example](https://github.com/pytorch/examples/blob/master/vae/main.py) 15 | 16 | 17 | Read our article [here](https://github.com/LauJohansson/AnomalyDetection_VAE_LSTM/blob/master/Unsupervised%20anomaly%20detection%20using%20variational%20autoencoders%20-%20assessing%20road%20conditions%20for%20lira%20project.pdf)
18 | Look at the implemented model [here](https://github.com/LauJohansson/AnomalyDetection_VariationalAutoencoderLSTM/blob/master/VAE_LSTM_model.ipynb) 19 | 20 | 21 | -------------------------------------------------------------------------------- /Unsupervised anomaly detection using variational autoencoders - assessing road conditions for lira project.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LauJohansson/AnomalyDetection_VAE_LSTM/62078275e0f03bf94c735f7ac7cdfe57297ff569/Unsupervised anomaly detection using variational autoencoders - assessing road conditions for lira project.pdf -------------------------------------------------------------------------------- /reconstruct_anomali.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LauJohansson/AnomalyDetection_VAE_LSTM/62078275e0f03bf94c735f7ac7cdfe57297ff569/reconstruct_anomali.png --------------------------------------------------------------------------------