GitiHubi/deepAD

Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

语言：Jupyter Notebook · GitHub 星标：88 · Fork：18

话题：accounting · adversarial-autoencoders · anomaly-detection · deep-learning · forensic-accounting · fraud-detection · fraud-prevention · pytorch

在 GitHub 上查看原仓库