A Python toolbox/library for reality-centric machine learning/deep learning on partially-observed time series with PyTorch, including SOTA neural network models supporting tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data.
At PyPOTS, things are related to coffee, which we're familiar with. Yes, this is a coffee universe!
As you can see, there is a coffee pot in the PyPOTS logo.
And what else? Please read on ;-)
☕️ Welc…
