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.
Jupyter Notebook
Stargazers
- AaronDeb
- ahmedmustahidTohoku University
- amr-farahatFrankfurt, Germany
- aomtnyDeloitte
- berkistayn
- cchighman@Microsoft
- DailyFuNanjing
- dan-r95Dresden, Germany
- dylanlevine
- franz101
- GitiHubiUniversity of St. Gallen (HSG)
- hsm207@weaviate
- jawjay
- Jeanjiachigege
- kejiejiang
- kiminh
- kinosang@JoyMoe
- lghuo
- lifengfengbbDeloitte
- Mosely
- nateraw@huggingface
- noisyoscillatorBangalore, India
- OGK0New York, NY
- prashiyn
- reconstructive
- rohithadassanayakeSRI LANKA
- sattarovUniversity of St.Gallen
- scigeek72
- shawndr
- Susiyuan
- Ting2-Wang
- TomLaMantiaToronto, Ontario.
- WLiKustc
- xhaoAITongji University
- yangguo
- zephoonAIA TSS