Deep_XF VS finite-element-networks

Compare Deep_XF vs finite-element-networks 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)

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 (by martenlienen)
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Deep_XF finite-element-networks
3 1
110 60
- -
10.0 1.8
over 1 year ago almost 2 years ago
Jupyter Notebook Jupyter Notebook
- MIT License
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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.

finite-element-networks

Posts with mentions or reviews of finite-element-networks. 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 finite-element-networks you can also consider the following projects:

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

DeepLearningExamples - State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

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

covid19-severity-prediction - Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

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.

GAN-RNN_Timeseries-imputation - Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

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

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

BrewPOTS - The tutorials for PyPOTS.

torchdyn - A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods