Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Anomaly detection related books, papers, videos, and toolboxes

This is the code for our "A novel Transformer-based Anomaly Detection approach for ECG Monitoring Healthcare System" paper

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

在当前的数字时代，随着网络攻击日益复杂和频繁，网络安全成为了保障信息安全的重中之重。尤其是在网络入侵检测领域，传统的基于规则的检测方法已经难以应对日新月异的攻击技术。因此，利用深度学习技术进行网络入侵检测成为了研究的新趋势。本项目旨在开发一种基于卷积神经网络（CNN）和Transformer的网络入侵检测系统（IntrusionDetectNet），旨在提高检测速度和准确性，降低误报率，为网…

This GitHub repository contains code for a fraud detection system designed to handle imbalanced datasets. The system utilizes ensemble modeling techniques, including an Isolation Forest Score Trans…

Anomaly Detection deep-learning models Transformer-based

Intrusion Detection System using Machine Learning and Deep Learning

Multivariate Time Series Transformer, public version

时间序列异常检测

A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).

Anomaly detection in multivariate time series using e.g. LSTM- or Transformer Autoencoders.

Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between