googleinterns / invobs-data-assimilation
☆35Updated 3 years ago
Alternatives and similar repositories for invobs-data-assimilation
Users that are interested in invobs-data-assimilation are comparing it to the libraries listed below
Sorting:
- The public repository about our joint FINN research project☆36Updated 2 years ago
- ☆35Updated last year
- Differentiable neural-network solver for data assimilation of ice shelves written in JAX☆26Updated this week
- Official implementation of Score-based Data Assimilation☆60Updated last year
- Code for neural network parameterization project☆18Updated last year
- Experiments demonstrating coupled online learning for machine learning parameterizations☆21Updated 2 years ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated last year
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆29Updated 2 months ago
- Use Deep Learning in Data Assimilation☆44Updated 4 months ago
- Graph-based operator learning in arbitrary geometries☆23Updated last month
- ☆16Updated 5 months ago
- Code for the paper "Generative AI for fast and accurate statistical computation of fluids"☆28Updated 2 months ago
- Python codes for studying predictability and data assimlation with a surface quasi-geostrophic turbulence model☆32Updated 2 months ago
- Python package 'dgpsi' for deep and linked Gaussian process emulations☆27Updated 4 months ago
- ☆65Updated last year
- ☆38Updated last year
- ☆43Updated 7 months ago
- OceanBench - SSH edition☆20Updated last year
- 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.☆11Updated 3 years ago
- Datasets and code for results presented in the BOON paper☆43Updated 2 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆26Updated last year
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 2 years ago
- ☆27Updated 6 months ago
- Predicting wave propagation on shallow water with deep neural networks☆21Updated last year
- Benchmarking tools for applying AI/ML to data assimilation☆15Updated 2 weeks ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆38Updated 2 years ago
- Datasets and code for results presented in the ProbConserv paper☆53Updated 11 months ago
- ☆32Updated 2 years ago
- Distributed Fourier Neural Operators☆29Updated 2 years ago