bibtissam / LSTM-Attention-FraudDetectionLinks
Enhanced Credit Card Fraud Detection based on Attention mechanism and LSTM deep Model
☆43Updated 3 years ago
Alternatives and similar repositories for LSTM-Attention-FraudDetection
Users that are interested in LSTM-Attention-FraudDetection are comparing it to the libraries listed below
Sorting:
- This repository contains implementation of some techniques like SMOTE, ADASYN, SMOTE + Tomek Links, SMOTE + ENN to overcome class imbalan…☆45Updated 4 years ago
- ☆24Updated 3 years ago
- AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow☆217Updated 5 years ago
- Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…☆31Updated 5 years ago
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆135Updated 4 years ago
- Source Code for 'Beginning Anomaly Detection Using Python-Based Deep Learning' by Sridhar Alla and Suman Kalyan Adari☆84Updated 5 years ago
- An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detecti…☆52Updated last year
- Code repository for the online course Machine Learning with Imbalanced Data☆182Updated 9 months ago
- In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbo…☆148Updated 3 years ago
- Generating Tabular Synthetic Data using State of the Art GAN architecture☆80Updated 5 years ago
- Code repository for the online course Feature Selection for Machine Learning☆327Updated 9 months ago
- ☆26Updated 7 years ago
- A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the differ…☆123Updated 8 years ago
- ☆26Updated 6 months ago
- Time series forecasting using LSTM in Python☆99Updated last year
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆67Updated 2 years ago
- Time-Series models for multivariate and multistep forecasting, regression, and classification☆62Updated 3 years ago
- University Project for Anomaly Detection on Time Series data☆108Updated last year
- This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) tim…☆139Updated 6 years ago
- ☆65Updated 2 years ago
- Understanding an LSTM Autoencoder☆37Updated 6 years ago
- Multivariate Time series Analysis Using LSTM & ARIMA☆37Updated 5 years ago
- Time Series Forecasting for the M5 Competition☆41Updated 3 years ago
- This machine learning model (LSTM Time Series model) helps us to forecast demand of a supply chain business problem. This model uses Kera…☆29Updated 7 years ago
- The goal of this notebook is to implement and compare different approaches to predict item-level sales at different store locations.☆36Updated 3 years ago
- Jithsaavvy / Explaining-deep-learning-models-for-detecting-anomalies-in-time-series-data-RnD-projectThis research work focuses on comparing the existing approaches to explain the decisions of models trained using time-series data and pro…☆29Updated 3 years ago
- Anomaly detection and failure prognosis applied to industrial machines☆28Updated 6 years ago
- How to use XGBoost for multi-step time series forecasting☆40Updated 2 years ago
- iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transaction…☆561Updated 6 years ago
- This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking a…☆53Updated 3 years ago