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keras-io/time-series-anomaly-detection-autoencoder
time-series-anomaly-detection-autoencoder is a machine learning model from keras-io. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for tf-keras. The card lists the license as cc0-1.0.
This repo contains the model and the notebook for this time series anomaly detection implementation of Keras.
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From the Hugging Face model README
This repo contains the model and the notebook for this time series anomaly detection implementation of Keras.
Full credits to: Pavithra Vijay
This notebook demonstrates how you can use a reconstruction convolutional autoencoder model to detect anomalies in timeseries data.