Autoformer
Deep_XF
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| Autoformer | Deep_XF | |
|---|---|---|
| 1 | 3 | |
| 1,712 | 110 | |
| 5.4% | - | |
| 5.4 | 10.0 | |
| 3 months ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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
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[P] ts-tok: Time-Series Forecasting with Classification
The CustomDataset can use the datasets from here: google drive. source: https://github.com/thuml/Autoformer
Deep_XF
What are some alternatives?
dtan - Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available at tf_legacy branch.
modeltime - Modeltime unlocks time series forecast models and machine learning in one framework
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