This is an implementation of the paper Feature Selection for Multivariate Time Series via Network Pruning, that proposes a novel neural component, namely Neural Feature Selector (NFS), as an end-2-end solution for feature selection in MTS data.
You can find the building blocks of the NFS in neural_feature_selector.py. In addition, you can also check an easy demo in this notebook!! 😏😏😏