Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

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 J…

Portfolio accounting and analysis using Emacs Org-mode and Jupyter Notebooks.

Accounting Notebook API app with SpringBoot, Angular & docker for Agile Engine.

A proto-typing and notebook environment for the analysis of budgetary data.

Analysis of LSST Batch Activity