Upload the code after the paper is accepted

pass

To clone this repo:

git clone https://github.com/qiumiao30/SLMR.git && cd SLMR

• SWaT: SWaT Dataset Download, Dataset Introduce
• MSL & SMAP: Dataset Download and Introduction

• python>=3.7
• torch>=1.9

pip install -r requirements.txt

python data_preprocess.py --dataset $dataset_name$

$dataset$ is one of SWAT, MSL, SMAP et al.

for example:

python data_preprocess.py --dataset swat

• --dataset : default "swat".
• --lookback : Windows size, default 10.
• --normalize : Whether to normalize, default True.
• --epochs : default 10
• --bs : Batch Size, default 256
• --init_lr : init learning rate, default 1e-3
• --val_split : val dataset, default 0.1
• --dropout : 0.3

python main.py --Params "value" --Parmas "value" ......

pass

pass

1. Other Advanced Methods

• DAGMM: code
• LSTM-VAE: code
• MAD-GAN: code
• MTAD-GAT: code
• USAD: code
• OmniAnomaly: code