Alternatives and similar repositories for PyDA

Users that are interested in PyDA are comparing it to the libraries listed below

• thiery-lab / data-assimilation
  Python code for data assimilation methods
  ☆48Updated 2 years ago
• acse-jm122 / torchda
  Use Deep Learning in Data Assimilation
  ☆45Updated 6 months ago
• jswhit / sqgturb
  Python codes for studying predictability and data assimlation with a surface quasi-geostrophic turbulence model
  ☆33Updated 4 months ago
• ecosme38 / Data-Assimilation-Notebooks
  ☆58Updated last year
• nansencenter / DA-tutorials
  Tutorials on data assimilation (DA) and the EnKF
  ☆161Updated 2 months ago
• TomBolton / DeepEddy
  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
• hrkz / torchqg
  Quasi-geostrophic spectral solver in PyTorch
  ☆18Updated 2 years ago
• milankl / swm
  Shallow water equations solver with finite differences written in Python. Arakawa C-grid, Arakawa and Lamb advection scheme, Shchepetkin …
  ☆48Updated 2 years ago
• thunderhoser / cira_uq4ml
  Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere
  ☆17Updated 2 years ago
• geirev / Data-Assimilation-Fundamentals
  This repository is a resource complementary to the book: Data Assimilation Fundamental: A unified formulation for state and parameter est…
  ☆51Updated 2 months ago
• OpenDA-Association / OpenDA
  Open data assimilation toolbox
  ☆90Updated this week
• ptandeo / AnDA
  ¡AnDA! is a Python library for the Analog Data Assimilation.
  ☆28Updated 3 years ago
• ToshiyukiBandai / PINNs_RRE
  Physics-informed neural networks for the Richardson-Richards equation
  ☆28Updated 4 years ago
• Climdyn / qgs
  A 2-layer quasi-geostrophic atmospheric model in Python. Can be coupled to a simple land or shallow-water ocean component.
  ☆39Updated last month
• thetisproject / thetis
  Finite element flow solver for simulating coastal and estuarine flows.
  ☆73Updated this week
• m2lines / pyqg_parameterization_benchmarks
  Public-facing git repository for JAMES submission, "Benchmarking of machine learning ocean parameterizations in an idealized model"
  ☆11Updated 2 years ago
• passaH2O / dorado
  For shallow-water Lagrangian particle routing.
  ☆59Updated last month
• tbeucler / CBRAIN-CAM
  Code for neural network parameterization project
  ☆19Updated last year
• NCAR / mlmicrophysics
  Machine learning emulators for microphysical processes.
  ☆13Updated 2 months ago
• ai2cm / fv3net
  explore the FV3 data for parameterization
  ☆17Updated 6 months ago
• brajard / GMD-code
  ☆12Updated 2 years ago
• ashesh6810 / machine_learning_for_climate
  A set of pre-processing codes, A deep convolutional neural net and post-processing codes for classifying turbulent climate patterns
  ☆12Updated 6 years ago
• jeremygibbs / pyBurgers
  One-dimensional DNS and LES of Burgers turbulence written in Python
  ☆29Updated last year
• MaxRamgraber / Triangular-Transport-Toolbox
  A Python toolbox for Bayesian inference and generative sampling, implementing triangular transport maps from samples.
  ☆10Updated 2 years ago
• louity / qgm_pytorch
  PyTorch implemetation of multi-layer quasi-geostrophic model on rectangular domain with solid boundaries.
  ☆13Updated 3 years ago
• ocean-data-challenges / 2020a_SSH_mapping_NATL60
  A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS.
  ☆37Updated last year
• pyqg / pyqg
  Quasigeostrophic model in python
  ☆144Updated last month
• m2lines / L96_demo
  Lorenz 1996 two time-scale model for learning machine learning
  ☆52Updated 5 months ago
• jswhit / L96
  EnKF for Lorenz 96 model
  ☆20Updated last year
• RBTV1 / SWE-GNN-paper-repository-
  Code repository for paper "Rapid Spatio-Temporal Flood Modelling via Hydraulics-Based Graph Neural Networks"
  ☆44Updated last year