bibtissam / LSTM-Attention-FraudDetectionLinks
Enhanced Credit Card Fraud Detection based on Attention mechanism and LSTM deep Model
☆44Updated 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:
- ☆24Updated 4 years ago
- This repository contains implementation of some techniques like SMOTE, ADASYN, SMOTE + Tomek Links, SMOTE + ENN to overcome class imbalan…☆47Updated 5 years ago
- AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow☆220Updated 5 years ago
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆138Updated 4 years ago
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆69Updated 3 years ago
- How to use XGBoost for multi-step time series forecasting☆40Updated 2 years ago
- ☆26Updated 7 years ago
- Time Series Forecasting for the M5 Competition☆41Updated 3 years ago
- Analyzing multiple multivariate time series datasets and using LSTMs and Nonparametric Dynamic Thresholding to detect anomalies across va…☆21Updated 3 years ago
- Multivariate Time series Analysis Using LSTM & ARIMA☆37Updated 6 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
- ☆26Updated 8 months ago
- Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy☆126Updated 7 years ago
- Deep Learning and XAI Techniques for Anomaly Detection, published by Packt☆39Updated last month
- 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
- Source Code for 'Beginning Anomaly Detection Using Python-Based Deep Learning' by Sridhar Alla and Suman Kalyan Adari☆84Updated 5 years ago
- Datasets for Predictive Maintenance☆133Updated 5 months ago
- time-series prediction for predictive maintenance☆51Updated 6 years ago
- Deep Learning and Rare Event Prediction☆46Updated 4 years ago
- This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) tim…☆139Updated 6 years ago
- In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbo…☆150Updated 3 years ago
- Time Series Prediction☆48Updated 4 years ago
- University Project for Anomaly Detection on Time Series data☆114Updated last year
- Nvidia DLI workshop on AI-based anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generat…☆58Updated 11 months ago
- Understanding an LSTM Autoencoder☆37Updated 6 years ago
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆45Updated 4 years ago
- Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised dee…☆129Updated 4 years ago
- Predicting the Remaining Useful Life (RUL) of simulated Turbofan Engines using Spark ML, Spark Structured Streaming, and Kafka.☆23Updated last year
- Time series Analysis using LSTM,RNN and GRU with pytorch☆44Updated 3 years ago
- This repository contains example of keras-tcn on easy way.☆57Updated 5 years ago