This project utilizes Generative Adversarial Networks (GANs) to tackle the problem of credit card fraud detection. GANs are a powerful deep learning technique that can be used for generating synthetic data, which can be beneficial in situations with imbalanced datasets, such as fraud detection.

A tool to generate synthetic dataset of corporate travels

JR (jrnd.io) Source Connector for Apache Kafka Connect

A toolbox to generate synthetic datasets of rotating 2D or 3D shapes.

An add-on for Blender that allows you to generate and render three-dimensional scenes that can be automatically annotated and used for training neural networks.

Generates structured synthetic datasets using Pydantic v2 for validation and Azure OpenAI for generating realistic open string data. It supports configurable data schemas, distributions, dependencies, and prompts.

A toolkit for generating synthetic datasets for 6DOF object pose estimation

Free Open Source Mock Data Generator - A powerful desktop application and REST API for generating realistic fake data, test data, and sample data for testing, development, and prototyping.

Implementation of BISECT from [2] for Hidden Outlier generation.

🚀 AI-powered synthetic data generator that creates educational flowcharts and diagrams using LangGraph workflows. Features FastAPI integration, OpenAI LLM processing, and automated Mermaid diagram generation with iterative quality improvement through reflection patterns.

[DEMO] "Pose Estimation in Gebäuden anhand von Convolutional Neural Networks und simulierten 3D-Daten" as an example of PDF-generation via LaTeX - good old days 2019, supervised by Prof. Dr.-Ing. Markus Könug & M. Sc. Patrick Herbers | click here

Fraud detection model

Synthetic Credit Card Transaction Generator used in the Sparkov program.

A Python-based project that uses object-oriented programming to analyze synthetic stock market data. It explores index performance, volatility trends, market classifications, and generates insightful visualizations to support financial decision-making.

Master Thesis, Politecnico di Milano, A. Y. 2022/23, Computer Science and Engineering

Project C

Cutting-edge semantic text processing system that uses prompt engineering and advanced language models to generate high-quality hypothetical Q&A pairs for enhancing RAG pipelines and knowledge retrieval.

Code to generate skin cancer syntetic images

Financial Intelligence Unit (FIU) case study on the PaySim synthetic transactions dataset. Featuring SQL and Python (Pandas, NumPy, Scikit-learn, Matplotlib) workflows for anomaly detection, AML threshold analysis, and financial crime data visualization.