CARLA: A self-supervised contrastive learning model for time series anomaly detection. Enhances anomaly detection by learning robust representations of time series data.
Such an innovative approach. I am looking forward to a pypi version in the future, as I would love to use this in production tests. Is this something you will be implementing? Its generally quite easy to do when using Poetry package management. Let me know if you need any help in that regard.
Furthermore, I would recommend you turn this in an easy to use python library that receives pandas data in univariate and multivariate format with some tests around it.
Such an innovative approach. I am looking forward to a pypi version in the future, as I would love to use this in production tests. Is this something you will be implementing? Its generally quite easy to do when using Poetry package management. Let me know if you need any help in that regard.
Furthermore, I would recommend you turn this in an easy to use python library that receives pandas data in univariate and multivariate format with some tests around it.