finite-element-networks VS Deep_XF

Compare finite-element-networks vs Deep_XF and see what are their differences.

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)
neural-ode spatio-temporal Forecasting Pde
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daml.in.tum.de
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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)
Python Forecasting nowcasting-models forecasting-models explainable-ml deep-neural-networks Deep Learning time-series time-series-analysis auto-ml auto-timeseries interpretable-ai Sensors Timeseries multivariate ecg-signal siamese-neural-network Machine Learning
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InfluxDB - Power Real-Time Data Analytics at Scale
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.
www.influxdata.com
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finite-element-networks Deep_XF
1 3
60 110
- -
1.8 10.0
almost 2 years ago over 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License -
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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.

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 finite-element-networks and Deep_XF you can also consider the following projects:

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

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

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.

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

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

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

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

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.

finite-element-networks vs DataDrivenDynSyst Deep_XF vs modeltime finite-element-networks vs DeepLearningExamples Deep_XF vs Autoformer finite-element-networks vs covid19-severity-prediction Deep_XF vs wb_gdp_predict finite-element-networks vs GAN-RNN_Timeseries-imputation Deep_XF vs Auto_TS