AI4SIM / model-collectionLinks
This project contains a collection of deep learning models developed by the AI4Sim team with various partners. This is structured on the basis of use-cases providing canonical PyTorch Lightning pipelines allowing to train neural network models that are able to surrogate various physical processes.
☆16Updated last month
Alternatives and similar repositories for model-collection
Users that are interested in model-collection are comparing it to the libraries listed below
Sorting:
- ☆36Updated 4 years ago
- Experiments demonstrating coupled online learning for machine learning parameterizations☆21Updated 2 years 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
- ☆35Updated last year
- explore the FV3 data for parameterization☆17Updated 5 months ago
- Pytorch bindings for Fortran☆93Updated last year
- PyTorch implemetation of multi-layer quasi-geostrophic model on rectangular domain with solid boundaries.☆11Updated 3 years ago
- Lorenz 96 model with GAN parameterization of unresolved scale (Y).☆36Updated 5 years ago
- A set of pre-processing codes, A deep convolutional neural net and post-processing codes for classifying turbulent climate patterns☆12Updated 6 years ago
- Uncertainty Quantification in the POD-NN framework☆22Updated 4 years ago
- SDSC Summer Institute 2019 material☆18Updated 2 years ago
- Quasi-geostrophic spectral solver in PyTorch☆16Updated 2 years ago
- High Performance Computing for Weather and Climate☆37Updated 8 months ago
- Python codes for studying predictability and data assimlation with a surface quasi-geostrophic turbulence model☆32Updated 2 months ago
- TECA, theToolkit for Extreme Climate Analysis, contains a collection of climate anlysis algorithms targetted at extreme event detection a…☆60Updated last week
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆26Updated last year
- Lorenz 1996 two time-scale model for learning machine learning☆51Updated 4 months ago
- Code for neural network parameterization project☆19Updated last year
- Turbulent flow network source code☆68Updated 2 months ago
- Graph-based operator learning in arbitrary geometries☆24Updated 2 months ago
- ☆57Updated last year
- Datasets and code for results presented in the BOON paper☆43Updated 2 years ago
- ☆20Updated last year
- Python package for NN generation from physics☆14Updated 2 years ago
- ☆74Updated 2 years ago
- Random snippets of code I've developed over the years (generally when bored)☆12Updated last year
- Leibniz is a python package which provide facilities to express learnable partial differential equations with PyTorch☆15Updated 3 years ago
- PSyclone is a source-to-source Fortran compiler designed to programmatically optimise, parallelise and instrument HPC applications via us…☆116Updated this week
- Large Eddy Simulation with dedalus☆37Updated 6 years ago
- Collection of Python scripts and notebooks to demonstrate plotting on the ICON grid.☆17Updated 6 months ago