| jdb78/pytorch-forecasting |
3,439 |
|
0 |
10 |
over 2 years ago |
34 |
July 26, 2020 |
464 |
mit |
Python |
| Time series forecasting with PyTorch |
| polakowo/vectorbt |
3,189 |
|
0 |
9 |
over 2 years ago |
65 |
January 27, 2023 |
181 |
other |
Python |
| Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research. |
| rsvp/fecon235 |
622 |
|
0 |
0 |
over 7 years ago |
0 |
|
3 |
other |
Jupyter Notebook |
| Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics |
| business-science/pytimetk |
505 |
|
0 |
0 |
over 2 years ago |
3 |
November 05, 2023 |
84 |
mit |
Python |
| Time series easier, faster, more fun. Pytimetk. |
| antoinecarme/pyaf |
438 |
|
0 |
4 |
almost 3 years ago |
15 |
July 13, 2022 |
11 |
bsd-3-clause |
Python |
| PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules. |
| ranaroussi/pystore |
404 |
|
1 |
1 |
over 4 years ago |
35 |
February 11, 2022 |
21 |
apache-2.0 |
Python |
| Fast data store for Pandas time-series data |
| predict-idlab/tsflex |
340 |
|
0 |
0 |
over 2 years ago |
36 |
October 11, 2022 |
32 |
mit |
Python |
| Flexible time series feature extraction & processing |
| databrickslabs/tempo |
293 |
|
0 |
2 |
over 2 years ago |
27 |
September 22, 2023 |
35 |
other |
Jupyter Notebook |
| API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation |
| mikekeith52/scalecast |
292 |
|
0 |
0 |
over 2 years ago |
186 |
December 04, 2023 |
39 |
mit |
Python |
| The practitioner's forecasting library |
| wrobstory/bearcart |
268 |
|
1 |
0 |
over 9 years ago |
4 |
May 12, 2013 |
8 |
mit |
JavaScript |
| Creating Rickshaw.js visualizations with Python Pandas |
