/oc-nn

Models for one class neural networks

Primary LanguageJupyter Notebook

oc-nn

Models for one class neural networks The repository consists of code for models for experiments in Anomaly Detection using One-Class Neural Networks. The steps to reproduce the experiments are :

  1. git clone https://github.com/raghavchalapathy/oc-nn.git
  2. cd oc-nn
  3. Download the data and required models folder from this link and place inside the directory oc-nn
  4. Download the folders : lstm_autoencoders, trained_models which consists of pre-trained models and place it inside path oc-nn/models folder
  5. Kindly make sure the paths are local to your running environments and
  6. Execute the experiments present in the kdd_2018_conference_experiments.ipynb notebook