Recurrent-Autoencoder:基于递归神经网络的时间序列异常检测自动编码器

基于递归神经网络的自动编码器 PyTorch实现， 目录： 项目结构： 项目结构基于以下 ├── agents | └── rnn_autoencoder.py # the main training agent for the recurrent NN-based AE ├── graphs | └── models | | └── recurrent_autoencoder.py # recurrent NN-based AE model definition | └── losses | | └── MAELoss.py # contains the Mean Absolute Error (MAE) loss | | └── MSELoss.py # contains the Mean Squared Error (MSE) loss ├── datasets