Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: GluonTS: Probabilistic Time Series Models in Python   We introduce Gluon Time Series (GluonTS, available at
https://gluon-ts.mxnet.io), a library for deep-learning-based time series
modeling. GluonTS simplifies the development of and experimentation with time
series models for common tasks such as forecasting or anomaly detection. It
provides all necessary components and tools that scientists need for quickly
building new models, for efficiently running and analyzing experiments and for
evaluating model accuracy.

23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys
11
The categories of this paper are: hep-lat
36
The categories of this paper are: cmp-lg
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
21
The categories of this paper are: adap-org
15
The categories of this paper are: nucl-ex
10
The categories of this paper are: q-bio
35
The categories of this paper are: mtrl-th
32
The categories of this paper are: atom-ph
27
The categories of this paper are: comp-gas
26
The categories of this paper are: bayes-an
22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
13
The categories of this paper are: quant-ph