dmarcous / Self-Supervised-Network-Anomaly-DetectionLinks
First place solution for the Armis DataHack 2019 Challenge - Devices Gone Rogue
☆14Updated 6 years ago
Alternatives and similar repositories for Self-Supervised-Network-Anomaly-Detection
Users that are interested in Self-Supervised-Network-Anomaly-Detection are comparing it to the libraries listed below
Sorting:
- Implementation of Robust PCA and Robust Deep Autoencoder over Time Series☆14Updated 5 years ago
- Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.☆126Updated 6 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- Autoencoder model for rare event classification☆105Updated 6 years ago
- A pytorch implementation of "SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data"☆29Updated 6 years ago
- DeepStack: Ensembling Keras Deep Learning Models into the next Performance Level☆38Updated 3 years ago
- A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.☆67Updated 6 years ago
- Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)☆82Updated 3 weeks ago
- An example of using a discriminator to correct for a difference in the distributions between the training and test data.☆67Updated 9 years ago
- This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)☆60Updated 7 years ago
- How to do Unsupervised Clustering with Keras☆241Updated 7 years ago
- Toolbox for anomaly detection.☆80Updated 2 years ago
- Practical Deep Learning resources for Time series analysis and forecasting☆85Updated 4 years ago
- Understand the relationship between PCA and autoencoder☆31Updated 6 years ago
- AutoLearn, a domain independent regression-based feature learning algorithm.☆30Updated 6 years ago
- Robust Subspace Recovery Layer for Unsupervised Anomaly Detection☆37Updated 5 years ago
- Learning hyperparameters for unsupervised anomaly detection☆38Updated 6 years ago
- A combination of Autoencoder and Robust PCA☆189Updated last year
- ☆23Updated 6 years ago
- Autoencoder network for imputing missing values☆27Updated 6 years ago
- Feature Selection for Clustering☆96Updated 7 years ago
- Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…☆88Updated 6 years ago
- Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !☆99Updated 4 years ago
- Variational autoencoder for anomaly detection (in PyTorch).☆47Updated 6 years ago
- TensorFlow implementation of TabTransformer☆84Updated 2 years ago
- Deep One-Class Classification using Intra-Class Splitting☆15Updated 6 years ago
- GAAL-based Outlier Detection☆134Updated 3 years ago
- Tensorflow2 implementation of the paper GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training☆21Updated 4 years ago
- Fast Correlation-Based Feature Selection☆31Updated 8 years ago
- Deep Feature Selection using Teacher Student Network☆44Updated 6 years ago