zhangbincheng1997 / detect-lstm-modelLinks
detect malicious URL and Request (Bi-LSTM、Bi-LSTM + CNN、CNN + Bi-LSTM、CNN + Bi-LSTM + CNN)
☆60Updated 6 years ago
Alternatives and similar repositories for detect-lstm-model
Users that are interested in detect-lstm-model are comparing it to the libraries listed below
Sorting:
- 用TensorFlow搭建CNN/RNN/LSTM/GRU/BiRNN/BiLSTM/BiGRU/Capsule Network等deep learning模型☆60Updated 7 years ago
- 由时间空间成对组成的轨迹序列，通过循环神经网络lstm，自编码器auto-encode，时空密度聚类st-dbscan做异常检测☆74Updated 6 years ago
- KDD CUP 2021 Multi-dataset Time Series Anomaly Detection☆29Updated 4 years ago
- 时间序列异常检测☆55Updated 6 years ago
- [ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection☆173Updated 2 years ago
- 异常检测☆163Updated 6 years ago
- attention-based LSTM/Dense implemented by Keras☆300Updated 7 years ago
- ☆74Updated 4 years ago
- 异常检测☆21Updated 2 years ago
- 基于Keras的LSTM多变量时间序列预测☆185Updated 7 years ago
- ☆147Updated 5 years ago
- Attention-based bidirectional LSTM for Classification Task (ICASSP)☆116Updated 3 years ago
- 建立SARIMA-LSTM混合模型预测时间序列问题。以PM2.5值为例，使用UCI公开的自2013年1月17日至2015年12月31日五大城市PM2.5小时检测数据，将数据按时间段划分，使用SARIMA过滤其线性趋势，再对过滤后的残差使用LSTM进行预测，最后对预测结果进行…☆84Updated 6 years ago
- Using K-NN, SVM, Bayes, LSTM, and multi-variable LSTM models on time series forecasting☆52Updated 6 years ago
- Oversampling for imbalanced learning based on k-means and SMOTE☆129Updated 4 years ago
- the DL methods used are : DNN, CNN, LSTM, GRU, CNN-LSTM, CNN-GRU, CNN-BiLSTM, CNN-BiGRU, the dataset used is : imbalanced NSL-KDD (KDDTra…☆47Updated 3 years ago
- UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.☆307Updated 4 years ago
- 基于LSTM的异常检测☆27Updated 6 years ago
- ☆26Updated 7 years ago
- ☆16Updated 3 years ago
- Code for *Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE*☆24Updated 6 years ago
- Time-Series Event Prediction with Evolutionary State Graph, WSDM 2021☆93Updated 4 years ago
- TensorFlow Probability；Time series model☆127Updated 3 years ago
- We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the applicat…☆12Updated 5 years ago
- Multidimensional Time Series Prediction by using LSTM☆56Updated 6 years ago
- 使用支持向量机，感知机，随机森林，决策树，k近邻，logistic，LSTM，bagging，boosting，集成等多种常见算法实现多分类任务（三分类）。Support vector machine, perceptron, random forest, decision…☆18Updated 5 years ago
- A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)☆329Updated 2 years ago
- 异常值检测算法总结☆200Updated 5 years ago
- 机器学习的特征工程，包括特征抽取、特征预处理、特征选择、特征降维。☆25Updated 6 years ago
- IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder☆53Updated last year