Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras

Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras

curiousily

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

556 Stars
287 Forks
556 Watchers
Jupyter Notebook Language
mit License
Cost to Build
$532.4K
Market Value
$1.96M

Growth over time

11 data points  ·  2021-08-01 → 2025-07-01
Stars Forks Watchers
💬

How do you feel about this project?

Ask AI about Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras

Question copied to clipboard

What is the curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras GitHub project? Description: "iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras

Clone via HTTPS

git clone https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras.git

Clone via SSH

[email protected]:curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras issue tracker:

Open GitHub Issues