finite-element-networks
torchdyn
| finite-element-networks | torchdyn | |
|---|---|---|
| 1 | 1 | |
| 60 | 1,281 | |
| - | 2.1% | |
| 1.8 | 4.8 | |
| almost 2 years ago | 8 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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finite-element-networks
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[R] Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
Code & Demos: https://github.com/martenlienen/finite-element-networks
torchdyn
What are some alternatives?
DataDrivenDynSyst - Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
torchsde - Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
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NeuralCDE - Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
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.
monodepth2 - [ICCV 2019] Monocular depth estimation from a single image