caiyunapp / leibniz
Leibniz is a python package which provide facilities to express learnable partial differential equations with PyTorch
☆15Updated 3 years ago
Alternatives and similar repositories for leibniz:
Users that are interested in leibniz are comparing it to the libraries listed below
- Experiments demonstrating coupled online learning for machine learning parameterizations☆21Updated 2 years ago
- Official implementation of Score-based Data Assimilation☆54Updated last year
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- A spherical CNN for weather forecasting☆71Updated 2 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆35Updated 3 years ago
- ☆41Updated 6 months ago
- Python code for "Applications of Deep Learning to Ocean Data Inference and Sub-Grid Parameterisation" (https://doi.org/10.1029/2018MS0014…☆48Updated 6 years ago
- PyTorch implemetation of multi-layer quasi-geostrophic model on rectangular domain with solid boundaries.☆10Updated 2 years ago
- ☆34Updated 3 years ago
- explore the FV3 data for parameterization☆17Updated 2 months ago
- A pyTorch Extension for Applied Mathematics☆39Updated 5 years ago
- Implementation of our ICLR paper: https://openreview.net/pdf?id=By4HsfWAZ☆55Updated 5 years ago
- Code for neural network parameterization project☆18Updated last year
- Lorenz 96 model with GAN parameterization of unresolved scale (Y).☆36Updated 5 years ago
- ☆35Updated last year
- ☆19Updated 3 years ago
- Benchmarking tools for applying AI/ML to data assimilation☆14Updated last week
- Streamlined version of the 4dvarnet algorithm: probably a good starting point to understand and applying it☆9Updated 3 months ago
- Distributed Fourier Neural Operators☆29Updated 2 years ago
- ☆12Updated 2 years ago
- MeshfreeFlowNet: Physical Constrained Space Time Super-Resolution☆107Updated 4 years ago
- Python package for NN generation from physics☆14Updated 2 years ago
- Machine learning applied to interpolate sea-surface height observations from altimetry tracks.☆11Updated last year
- Spectral Neural Operator☆76Updated last year
- generative neural network trained with physics knowledge☆14Updated 4 years ago
- Python 2D Navier-Stokes solver☆15Updated last week
- OceanBench - SSH edition☆18Updated last year
- ¡AnDA! is a Python library for the Analog Data Assimilation.☆28Updated 3 years ago
- ☆32Updated last year
- Multiwavelets-based operator model☆59Updated 3 years ago