HROlive / Applications-of-AI-for-Anomaly-DetectionLinks
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.
☆53Updated 9 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
Sorting:
- AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow☆217Updated 5 years ago
- ☆10Updated 3 years ago
- Apply modern, deep learning techniques for anomaly detection to identify network intrusions.☆50Updated 8 months ago
- Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"☆173Updated 3 years ago
- Enhanced Credit Card Fraud Detection based on Attention mechanism and LSTM deep Model☆43Updated 3 years ago
- University Project for Anomaly Detection on Time Series data☆106Updated last year
- Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised dee…☆127Updated 3 years ago
- Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot …☆152Updated 4 years ago
- Analyzing multiple multivariate time series datasets and using LSTMs and Nonparametric Dynamic Thresholding to detect anomalies across va…☆21Updated 3 years ago
- Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few…☆48Updated 4 years ago
- List of implementation of SOTA deep anomaly detection methods☆109Updated 3 years ago
- ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph dat…☆410Updated last year
- A Transformer-based GAN for Anomaly Detection, International Conference on Artificial Neural Networks, (ICANN2022).☆22Updated 2 years ago
- offical implementation of TKDE paper "Deep isolation forest for anomaly detection"☆105Updated last year
- ☆66Updated 4 years ago
- Official implmentation of AAAI'23 paper 'Detecting Multivariate Time Series Anomalies with Zero Known Label'.☆65Updated last year
- Deep Learning and XAI Techniques for Anomaly Detection, published by Packt☆39Updated last year
- Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection☆28Updated 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
- 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
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆135Updated 4 years ago
- ☆22Updated 2 years ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆39Updated 3 years ago
- [ICDM 2020] Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning☆52Updated 2 years ago
- Application of novel EC-GAN method on Network Intrusion Detection☆21Updated 3 years ago
- ☆152Updated last year
- Repository for Fraud Dataset Benchmark☆194Updated last year
- ☆48Updated 2 months ago
- A research project of anomaly detection on dataset IoT-23☆99Updated 11 months ago
- tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data☆64Updated 5 years ago