GluonTS¶
GluonTS is a Python package for probabilistic time series modeling, focusing on deep learning based models. Includes 24 models, based on MXNet, PyTorch, and NumPy.
Logo |
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Website |
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Repository |
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Byline |
Probabistic time series modeling in Python |
License |
Apache 2.0 |
Project age |
3 years 6 months |
Backers |
AWS Labs (Creator and maintainer) |
Lastest News (2022-10-10) |
0.11.0 This release includes support for incremental training, two new models, and dataset splitting functionality. It also includes bug … more |
Size score (1 to 10, higher is better) |
3.5 |
Trend score (1 to 10, higher is better) |
8.75 |
Education Resources¶
URL |
Resource Type |
Description |
|---|---|---|
Paper |
2020 Paper in Journal of Machine Learning Research |
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Video |
Tutorial at IJCAI 2021 |
Git Commit Statistics¶
Statistics computed using Git data through November 30, 2022.
Statistic |
Lifetime |
Last 12 Months |
|---|---|---|
Commits |
4,113 |
1,111 |
Lines committed |
1,267,367 |
647,663 |
Unique committers |
107 |
39 |
Core committers |
17 |
8 |
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