iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
☆591Jun 28, 2019Updated 7 years ago
Alternatives and similar repositories for Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras
Users that are interested in Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆114Dec 6, 2017Updated 8 years ago
- Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook☆109Dec 7, 2022Updated 3 years ago
- ☆189Jan 1, 2023Updated 3 years ago
- Fraud Detection model build with Python (numpy, scipy, pandas, scikit-learn), based on anonymized credit card transactions. The dataset i…☆62Jun 21, 2022Updated 4 years ago
- Anomaly detection with autoencoders — credit-card-fraud case study☆17Jun 7, 2020Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A curated list of data mining papers about fraud detection.☆1,835Jan 5, 2026Updated 8 months ago
- Anomaly detection using Autoencoder implemented with Keras 2.☆68Jan 26, 2019Updated 7 years ago
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆139Apr 5, 2018Updated 8 years ago
- ☆26Jun 17, 2018Updated 8 years ago
- UCSD Anomaly Detection Challenge with CNN Autoencoders and 2-layered LSTMs☆10Nov 19, 2019Updated 6 years ago
- ☆14Jun 29, 2017Updated 9 years ago
- Anomaly detection implemented in Keras☆372Apr 1, 2018Updated 8 years ago
- Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of…☆198Jul 5, 2023Updated 3 years ago
- Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based…☆129Dec 2, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 …☆210Aug 7, 2019Updated 7 years ago
- ☆449Aug 25, 2021Updated 5 years ago
- Machine learning models to automatically predict credit card frauds☆12Dec 23, 2018Updated 7 years ago
- This project requires to develop a customer segmentation to define marketing strategy. The sample dataset summarizes the usage behavior o…☆14Oct 14, 2019Updated 6 years ago
- A logistic regression model that detects the fraud in online transactions that can be accesed with a REST API☆27Oct 6, 2019Updated 6 years ago
- Anomaly detection methods and implementation☆16Feb 28, 2020Updated 6 years ago
- Credit Card Fraud Detection☆46Apr 22, 2024Updated 2 years ago
- Anomaly detection for temporal data using LSTMs☆225Oct 5, 2021Updated 4 years ago
- Build Deep Neural Network model in Keras and deploy a REST API to production with Flask on Google App Engine☆34May 1, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆10Nov 24, 2018Updated 7 years ago
- An LSTM Autoencoder for rare event classification☆107Jan 10, 2020Updated 6 years ago
- LSTM-VAE for Time Series Anomaly Detection☆10Feb 21, 2021Updated 5 years ago
- ☆12Sep 7, 2017Updated 9 years ago
- This is a python project for building a linear regression model that is used to predict used car prices from a given dataset using machin…☆17Jun 14, 2023Updated 3 years ago
- Deep Learning examples with Keras.☆304Nov 3, 2025Updated 10 months ago
- 🚨 Simple, self-contained fraud detection system built with Apache Kafka and Python☆93Apr 29, 2019Updated 7 years ago
- Linear Regression Model for Real State House Price Prediction☆158Jun 9, 2023Updated 3 years ago
- Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preproce…☆1,075Apr 23, 2020Updated 6 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- {PySpark, R, Python}: Several Data Science projects☆16May 14, 2018Updated 8 years ago
- A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from t…☆1,189Jan 17, 2025Updated last year
- Forest fire detection using Convolutional Neural Networks☆118Nov 19, 2019Updated 6 years ago
- Reproducible machine learning notes in Python and R to record my learning journey in Data Science☆18Feb 24, 2019Updated 7 years ago
- Use AutoAI to detect fraud☆33Dec 9, 2022Updated 3 years ago
- RNN based Time-series Anomaly detector model implemented in Pytorch.☆1,305Aug 2, 2021Updated 5 years ago
- Classification of Breast Cancer diagnosis Using Support Vector Machines☆269Oct 15, 2022Updated 3 years ago