PyTorch Forecasting¶
An implementation on top of PyTorch of several deep learning models for time series forecasting. Models include Temporal Fusion Transformers, N-BEATS, DeepAR, and simple standard networks for baselineing.
Logo |
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Website |
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Repository |
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Byline |
Time series forecasting with PyTorch |
License |
MIT |
Project age |
2 years 9 months |
Backers |
Personal Project (Creator and maintainer) |
Lastest News (2022-03-23) |
v0.10.0 Adding N-HiTS network (N-BEATS successor) more |
Size score (1 to 10, higher is better) |
3.5 |
Trend score (1 to 10, higher is better) |
6.5 |
Education Resources¶
URL |
Resource Type |
Description |
---|---|---|
https://towardsdatascience.com/introducing-pytorch-forecasting-64de99b9ef46 |
Blog |
Overview of the PyTorch-Forecasting project by the project creator. |
Git Commit Statistics¶
Statistics computed using Git data through November 30, 2022.
Statistic |
Lifetime |
Last 12 Months |
---|---|---|
Commits |
18,605 |
4,534 |
Lines committed |
3,448,602 |
733,470 |
Unique committers |
35 |
13 |
Core committers |
6 |
5 |
![../_images/jdb78_pytorch-forecasting-monthly-commits.png](../_images/jdb78_pytorch-forecasting-monthly-commits.png)
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