Deep_XF VS Autoformer

Compare Deep_XF vs Autoformer 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)

Autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008 (by thuml)
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Deep_XF Autoformer
3 1
110 1,732
- 4.2%
10.0 5.4
over 1 year ago 4 months ago
Jupyter Notebook Jupyter Notebook
- MIT License
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.

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.

Autoformer

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

What are some alternatives?

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

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

dtan - Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available at tf_legacy branch.

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

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.

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

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

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

neural_prophet - NeuralProphet: A simple forecasting package