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:
- attention-based LSTM/Dense implemented by Keras☆298Updated 7 years ago
- 用TensorFlow搭建CNN/RNN/LSTM/GRU/BiRNN/BiLSTM/BiGRU/Capsule Network等deep learning模型☆59Updated 6 years ago
- [ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection☆166Updated 2 years ago
- 时间序列异常检测☆54Updated 6 years ago
- 异常检测☆160Updated 6 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☆73Updated 5 years ago
- 基于Keras的LSTM多变量时间序列预测☆179Updated 7 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
- Attention-based bidirectional LSTM for Classification Task (ICASSP)☆115Updated 2 years ago
- Using K-NN, SVM, Bayes, LSTM, and multi-variable LSTM models on time series forecasting☆51Updated 6 years ago
- KDD CUP 2021 Multi-dataset Time Series Anomaly Detection☆29Updated 4 years ago
- 常用的特征选择方法☆68Updated 3 years ago
- N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.☆23Updated 6 years ago
- the extension of https://github.com/philipperemy/keras-attention-mechanism , create a new scipt to add attetion to input dimensions rath…☆78Updated last year
- 时间序列ARIMA模型的销量预测☆62Updated 7 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…☆82Updated 6 years ago
- 基于Keras的LSTM多变量时间序列预测☆25Updated 7 years ago
- ☆117Updated 7 years ago
- Keras version of LSTNet☆96Updated 6 years ago
- ☆16Updated 2 years ago
- 运用孤立森林异常检测算法,过滤渗透测试和性能测试过程中产生的异常数据☆56Updated 7 years ago
- 客流量时间序列预测模型☆126Updated 3 years ago
- TensorFlow Probability;Time series model☆127Updated 3 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…☆45Updated 2 years ago
- 基于KNN聚类算法结合Dynamic Time Warping(动态时间调整)的时间序列分类☆62Updated 6 years ago
- Oversampling for imbalanced learning based on k-means and SMOTE☆128Updated 4 years ago
- 异常检测☆21Updated last year
- 数据预处理之缺失值处理,特征选择☆21Updated 6 years ago
- CNN with attention and CNN_LSTM_attention(pytorch)☆18Updated 5 years ago
- LSTM, CNN, CNNLSTM, BiLSTM, MLP☆10Updated 7 years ago