RND(Unsupervised Outlier Detection with Reinforced Noise Discriminator)

Notes

We are planning a major update to the code in the near future, so if you have any suggestions, please feel free to email ME or mention them in the issue.

Requirements

• pytorch1.7
• python>=3.6

Prepare Your Dataset

Here are some manual and real datasets

Example1

if your source dataset is :

source_dataset
dataset
├── data_1.csv
├── data_2.csv
├── data_3.csv
└── ...

Training

python RND.py

By The Way

This project is not perfect and there are still many problems. If you are using this project and would like to give the author some feedbacks, you can send ME an email.

Result

Related works

If this code is helpful for you, please help us click on star. Thank you.

[1] Liu Y , Li Z , Zhou C , et al. "Generative Adversarial Active Learning for Unsupervised Outlier Detection", arXiv:1809.10816, 2018.
[2] Zhao, Y., Nasrullah, Z. and Li, Z., 2019. PyOD: A Python Toolbox for Scalable Outlier Detection. Journal of machine learning research (JMLR), 20(96), pp.1-7.
[3] DROCC: Deep robust one-class classification." International  conference on machine learning, 2020.