# curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras

<https://repo.masters-masters.com/en/repos/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras>

[Home](https://repo.masters-masters.com/en) › [curiousily](https://repo.masters-masters.com/en/owners/curiousily) › [Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras](https://repo.masters-masters.com/en/repos/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras)

curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras has 591 stars on GitHub. Its RepoMasters card: Alpha tier. iPython notebook and pre-trained…

| Field | Value |
| --- | --- |
| Owner | [curiousily](https://repo.masters-masters.com/en/owners/curiousily) |
| Stars | 591 |
| Forks | 288 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2017 |
| Topics | tensorflow, keras, anomaly-detection, deep-learning, tensorflow-tutorial, autoencoders, credit-card-fraud |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras](https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras) |

## Repository

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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