A minimal tool to generate and validate datasets.

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.

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

A tool to generate synthetic dataset of corporate travels

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.

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

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.

Agentic -powered synthetic data generator that creates flowcharts using LangGraph orchestration. Features FastAPI integration, OpenAI LLM processing, and automated Mermaid diagram generation.

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.

Creates bank mock data in a simple way

[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

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.

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

🌐 Generate diagrams effortlessly with Mermaid AI Diagram Generator, transforming your ideas into visual representations quickly and clearly.

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.

Synthetic Credit Card Transaction Generator used in the Sparkov program.

Project C

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.