modeltime VS Deep_XF

Compare modeltime vs Deep_XF and see what are their differences.

Deep_XF

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. (by ajayarunachalam)
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modeltime Deep_XF
5 3
499 110
0.6% -
8.4 10.0
4 months ago over 1 year ago
R Jupyter Notebook
GNU General Public License v3.0 or later -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

modeltime

Posts with mentions or reviews of modeltime. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-17.

Deep_XF

Posts with mentions or reviews of Deep_XF. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing modeltime and Deep_XF you can also consider the following projects:

fable - Tidy time series forecasting

Autoformer - About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

modeltime.gluonts - GluonTS Deep Learning with Modeltime

wb_gdp_predict - Predicting next year's GDP using ML (Python)

boostime - The Tidymodels Extension for Time Series Boosting Models

Auto_TS - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.

healthyR.ts - A time-series companion package to healthyR

lockdowndates - Retrieve the dates of the restrictions imposed by governments in countries around the world during the covid-19 pandemic.

modeltime.resample - Resampling Tools for Time Series Forecasting with Modeltime

BrewPOTS - The tutorials for PyPOTS.

tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai