happy-xlf / CNN_TCN_BiLSTM_Attention_for_Anomaly_DectionView external linksLinks
异常检测算法
☆24Aug 19, 2023Updated 2 years ago
Alternatives and similar repositories for CNN_TCN_BiLSTM_Attention_for_Anomaly_Dection
Users that are interested in CNN_TCN_BiLSTM_Attention_for_Anomaly_Dection are comparing it to the libraries listed below
Sorting:
- ☆11Jun 12, 2025Updated 8 months ago
- ☆23Jan 21, 2021Updated 5 years ago
- ☆31Nov 30, 2022Updated 3 years ago
- LSTM-VAE for Time Series Anomaly Detection☆10Feb 21, 2021Updated 4 years ago
- ☆11Oct 24, 2024Updated last year
- Time Series Forecasting with Dynamic Graph Modeling☆15Aug 31, 2025Updated 5 months ago
- The main code of our proposed multi-resolution interactive transformer☆11May 16, 2025Updated 9 months ago
- Implementation of Research Paper titled: An explainable AI based Intrusion Detection System for DNS over HTTPS (DoH) Attacks on CICIDS da…☆10Jul 11, 2023Updated 2 years ago
- ☆11Dec 16, 2021Updated 4 years ago
- Integrating CNN-LSTM Networks with Statistical Filtering Techniques for Optimizing IoT Intrusion Detection☆13Aug 28, 2024Updated last year
- Next–Generation Intrusion Detection for IoT EVCS: Integrating CNN, LSTM, and GRU Models☆18Feb 19, 2025Updated 11 months ago
- MA-VAE: Multi-head attention-based variational autoencoder approach for anomaly detection in multivariate time-series applied to automoti…☆11May 28, 2024Updated last year
- Compare univariate and multivariate xLSTM models against Markov Chain model to predict future values based on historical temporal sequenc…☆12Jun 12, 2024Updated last year
- Multi-Scale Temporal Variational Autoencoder for Anomaly Detection in Multivariate Time Series☆15Apr 26, 2023Updated 2 years ago
- This repository implements Physics-Informed Neural Networks (PINNs) for slope stability analysis based on the Mohr-Coulomb failure criter…☆16Jul 29, 2025Updated 6 months ago
- ☆14Feb 26, 2025Updated 11 months ago
- ☆10Apr 14, 2019Updated 6 years ago
- This is a CNN model for prediction of cyber attack, trained using NSL-KDD dataset☆10Mar 7, 2024Updated last year
- ☆11Nov 7, 2024Updated last year
- MEAformer: An all-MLP Transformer with Temporal External Attention for Long-term Time Series Forecasting☆14Apr 27, 2024Updated last year
- The repository has the PyTorch codes to reproduce the results for our recently accepted paper, "Estimation of Acoustic Impedance from Sei…☆14Mar 17, 2021Updated 4 years ago
- Comparing CNN+Softmax with CNN+SVM on CIFAR 10 Dataset☆14Jan 26, 2019Updated 7 years ago
- ☆12Dec 25, 2023Updated 2 years ago
- This is a code reproduction for the paper titled "N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders"☆11Apr 22, 2021Updated 4 years ago
- NLP learning☆14May 9, 2024Updated last year
- ☆12Oct 8, 2022Updated 3 years ago
- ☆14May 8, 2025Updated 9 months ago
- 编译原理C语言LL1语法分析器的简单实现☆12Aug 31, 2020Updated 5 years ago
- Access Control List for Tornado (or just plain Python)☆29Sep 4, 2012Updated 13 years ago
- Plugin repo for breeze shell.☆18Sep 18, 2025Updated 4 months ago
- 信号分解算法，EMD，EEMD，CEEMDAN，VMD以及常见的熵☆15Aug 15, 2024Updated last year
- Official implementation of ECML PKDD'24 paper 'Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection'.☆17Aug 17, 2024Updated last year
- ☆13May 23, 2025Updated 8 months ago
- 《机器学习：基于opencv和python的智能图像处理》学习代码☆16Dec 26, 2020Updated 5 years ago
- Towards an Explainable Artificial Intelligence Framework for Enhancing Explainability in Network Intrusion Detection Systems☆21Nov 30, 2024Updated last year
- Machine learning code, derivatives calculation and optimization algorithms developed during the Machine Learning course at Universidade d…☆14Apr 29, 2021Updated 4 years ago
- Undergradute final project with ARIMA,LSTM,GRU,Xgboost and DeepTTE.毕业论文代码库合集，包括基于ARIMA,LSTM,GRU进行时间序列预测，基于DeepTTE解决ETA(estimated time of …☆21May 21, 2022Updated 3 years ago
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆14Dec 11, 2022Updated 3 years ago
- Code For Paper "Bridging the Spectrum Gap: Mid‑Frequency Augmentation and Key‑Frequency Mining for Multivariate Time Series"☆15Nov 19, 2025Updated 2 months ago