wb_gdp_predict VS Deep_XF

Compare wb_gdp_predict 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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Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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wb_gdp_predict Deep_XF
1 3
7 110
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2.7 10.0
6 months ago over 1 year ago
Jupyter Notebook Jupyter Notebook
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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.
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wb_gdp_predict

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

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 wb_gdp_predict and Deep_XF you can also consider the following projects:

TimeSeriesCrossValidation - Time-Series Cross-Validation Module

modeltime - Modeltime unlocks time series forecast models and machine learning in one framework

DataDrivenDynSyst - Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

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

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

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.

AlphaPy - Python AutoML for Trading Systems and Sports Betting

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

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

BrewPOTS - The tutorials for PyPOTS.

finite-element-networks - Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks" at ICLR 2022