The following repository contains the online appendix for the paper "Generative AI for Banks: Benchmarks and Algorithms for Synthetic Financial Transaction Data". It not only provides the python code for all experiments conducted but also background information for the literature review.

Generalized Automatic Pipeline for inspecting and fixing uncertainties in your data

🚀 Synthetic Data Generation for Dielectric Characterization using Machine Learning | TVAE & CTGAN for Data Augmentation in Sensor Applications

Streamlining the process to generate synthetic data. Just focus on the data, not the code!