| RubensZimbres/Repo-2017 |
1,146 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
|
Python |
| Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano |
| Michedev/VAE_anomaly_detection |
148 |
|
0 |
0 |
almost 3 years ago |
3 |
March 18, 2023 |
2 |
|
Python |
| lin-shuyu/VAE-LSTM-for-anomaly-detection |
128 |
|
0 |
0 |
over 4 years ago |
0 |
|
6 |
|
Jupyter Notebook |
| We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series. |
| StefanDenn3r/Unsupervised_Anomaly_Detection_Brain_MRI |
123 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
gpl-3.0 |
Python |
| Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study |
| NetManAIOps/Bagel |
49 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
|
Python |
| IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder |
| YeongHyeon/CVAE-AnomalyDetection-PyTorch |
34 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE) |
| JGuymont/vae-anomaly-detector |
29 |
|
0 |
0 |
over 6 years ago |
0 |
|
3 |
mit |
Python |
| Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch. |
| ldeecke/vae-torch |
24 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| Variational autoencoder for anomaly detection (in PyTorch). |
| munhouiani/GEE |
14 |
|
0 |
0 |
almost 4 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection |
| YeongHyeon/adVAE |
13 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
mit |
Python |
| Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection' |
