Autoformer VS dtan

Compare Autoformer vs dtan and see what are their differences.

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)

dtan

Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available at tf_legacy branch. (by BGU-CS-VIL)
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Autoformer dtan
1 1
1,712 65
5.4% -
5.4 0.0
3 months ago 10 months ago
Jupyter Notebook Jupyter Notebook
MIT License 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.

Autoformer

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

dtan

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

What are some alternatives?

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

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.

Practical_RL - A course in reinforcement learning in the wild

Time-series-classification-and-clustering-with-Reservoir-Computing - Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.