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C# and Python generator creating thousands of demo records for testing AI pipelines
A sophisticated data generation tool designed for testing and validating AI pipelines in financial applications. This project combines the power of C# and Python to create realistic synthetic financial data that mirrors real-world patterns and distributions. The generator can produce thousands of demo records with configurable parameters, making it ideal for stress testing, model training, and development environments where real data cannot be used. The tool includes PyTorch integration for advanced data augmentation and pattern generation.