A tool to generate synthetic dataset of corporate travels
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Updated
Jul 3, 2020 - Jupyter Notebook
A tool to generate synthetic dataset of corporate travels
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.
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.
Implementation of BISECT from [2] for Hidden Outlier generation.
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