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ts_vae_lstm | ||
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<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! --> | ||
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This file will become your README and also the index of your | ||
documentation. | ||
## TS VAE-LSTM | ||
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## Install | ||
> Implementation of the paper [Anomaly Detection for Time Series Using | ||
> VAE-LSTM Hybrid Model](https://ieeexplore.ieee.org/document/9053558) | ||
``` sh | ||
This is a work in progress. | ||
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### TODO | ||
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- [ ] Separate training from notebooks | ||
- [ ] use a squared term if the absolute element-wise error falls below | ||
delta and a delta-scaled L1 term otherwise (Huber) | ||
- [x] Use `.project-env` to manage paths | ||
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``` sh | ||
pip install ts_vae_lstm | ||
``` | ||
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## CUDA | ||
### Env variables | ||
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Download the driver and cuda version compiled for the driver. | ||
```bash | ||
sudo mhwd -i pci video-nvidia-470xx | ||
sudo pacman -U https://archive.archlinux.org/packages/c/cuda/cuda-11.4.2-1-x86_64.pkg.tar.zst | ||
``` bash | ||
BASEDIR='<your-base-path>/ts_vae-lstm' | ||
MODELDIR=${BASEDIR}/models | ||
``` | ||
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## How to use | ||
### CUDA | ||
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Fill me in please! Don’t forget code examples: | ||
Download the driver and cuda version compiled for the driver. | ||
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``` python | ||
1+1 | ||
``` bash | ||
sudo mhwd -i pci video-nvidia-470xx | ||
sudo pacman -U https://archive.archlinux.org/packages/c/cuda/cuda-11.4.2-1-x86_64.pkg.tar.zst | ||
``` | ||
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