| autogluon/autogluon |
9,843 |
|
0 |
14 |
3 months ago |
1,168 |
December 10, 2023 |
299 |
apache-2.0 |
Python |
| Fast and Accurate ML in 3 Lines of Code |
| Nixtla/statsforecast |
3,339 |
|
0 |
26 |
about 2 years ago |
27 |
August 23, 2023 |
85 |
apache-2.0 |
Python |
| Lightning ⚡️ fast forecasting with statistical and econometric models. |
| salesforce/Merlion |
3,179 |
|
0 |
3 |
over 2 years ago |
18 |
June 28, 2022 |
14 |
bsd-3-clause |
Python |
| Merlion: A Machine Learning Framework for Time Series Intelligence |
| microsoft/forecasting |
2,540 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
mit |
Python |
| Time Series Forecasting Best Practices & Examples |
| winedarksea/AutoTS |
935 |
|
0 |
0 |
about 2 years ago |
9 |
November 28, 2023 |
17 |
mit |
Python |
| Automated Time Series Forecasting |
| zillow/luminaire |
660 |
|
0 |
0 |
over 3 years ago |
20 |
November 23, 2022 |
18 |
apache-2.0 |
Python |
| Luminaire is a python package that provides ML driven solutions for monitoring time series data. |
| antoinecarme/pyaf |
438 |
|
0 |
4 |
over 2 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. |
| mikekeith52/scalecast |
292 |
|
0 |
0 |
about 2 years ago |
186 |
December 04, 2023 |
39 |
mit |
Python |
| The practitioner's forecasting library |
| DataCanvasIO/HyperTS |
225 |
|
0 |
0 |
over 2 years ago |
3 |
July 21, 2022 |
22 |
apache-2.0 |
Python |
| A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit. |
| ajayarunachalam/Deep_XF |
84 |
|
0 |
0 |
over 3 years ago |
5 |
November 08, 2021 |
0 |
|
Jupyter Notebook |
| Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals. |
