GAN-RNN_Timeseries-imputation VS finite-element-networks

Compare GAN-RNN_Timeseries-imputation vs finite-element-networks and see what are their differences.

GAN-RNN_Timeseries-imputation

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle. (by IvanBongiorni)

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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GAN-RNN_Timeseries-imputation finite-element-networks
7 1
164 60
- -
0.0 1.8
over 1 year ago almost 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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GAN-RNN_Timeseries-imputation

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

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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.

nl2bash - Generating bash command from natural language https://arxiv.org/abs/1802.08979

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.

starreduction - A free and open source tool for star removal in astronomy images. A GAN model implemented in tensorflow and trained to remove stars from astronomical images

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

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

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

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