HROlive / Applications-of-AI-for-Anomaly-Detection
Nvidia DLI workshop on AI-based anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and then implement and compare supervised and unsupervised learning techniques.
☆41Updated 5 months ago
Alternatives and similar repositories for Applications-of-AI-for-Anomaly-Detection:
Users that are interested in Applications-of-AI-for-Anomaly-Detection are comparing it to the libraries listed below
- ☆14Updated 3 years ago
- Apply modern, deep learning techniques for anomaly detection to identify network intrusions.☆42Updated 4 months ago
- Explaining Anomalies Detected by Autoencoders Using SHAP☆32Updated 5 years ago
- Code of Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs☆22Updated 2 years ago
- AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow☆200Updated 4 years ago
- Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot …☆151Updated 3 years ago
- Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'☆40Updated 3 years ago
- A Transformer-based GAN for Anomaly Detection, International Conference on Artificial Neural Networks, (ICANN2022).☆23Updated 2 years ago
- ☆22Updated 3 years ago
- Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection☆26Updated 2 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…☆28Updated 2 years ago
- Enhanced Credit Card Fraud Detection based on Attention mechanism and LSTM deep Model☆41Updated 2 years ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆39Updated 3 years ago
- Code for ICASSP 2024 paper "Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection".☆12Updated 11 months ago
- Explaining Anomalies Detected by Autoencoders Using SHAP☆41Updated 3 years ago
- Popular method ARIMA for outlier detection purposes☆29Updated 9 months ago
- ☆10Updated 3 years ago
- ☆15Updated 3 years ago
- Using Generative Adversarial Networks (GANs) algorithm to detect outliers on tabular data☆13Updated 5 years ago
- ☆65Updated 4 years ago
- Anomaly detection and failure prognosis applied to industrial machines☆28Updated 5 years ago
- Learning Tensorflow Step by Step:: Concepts, Examples & Applications☆57Updated 8 months ago
- TensorFlow implementation of "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detectio…☆25Updated last year
- Repository for Content-Aware Transformer☆14Updated 2 years ago
- Image similarity estimation using a Siamese Network with a triplet loss☆10Updated last year
- time-series prediction for predictive maintenance☆50Updated 6 years ago
- Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021☆44Updated 2 years ago
- University Project for Anomaly Detection on Time Series data☆89Updated 9 months ago
- Deep Learning and XAI Techniques for Anomaly Detection, published by Packt☆38Updated last year
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆123Updated 3 years ago