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
  ☆49Updated 2 years ago
• acse-jm122 / torchda
  Use Deep Learning in Data Assimilation
  ☆45Updated 6 months ago
• ecosme38 / Data-Assimilation-Notebooks
  ☆58Updated last year
• nansencenter / DA-tutorials
  Tutorials on data assimilation (DA) and the EnKF
  ☆165Updated last week
• jswhit / sqgturb
  Python codes for studying predictability and data assimlation with a surface quasi-geostrophic turbulence model
  ☆33Updated 4 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…
  ☆49Updated 6 years ago
• OpenDA-Association / OpenDA
  Open data assimilation toolbox
  ☆90Updated this week
• geirev / Data-Assimilation-Fundamentals
  This repository is a resource complementary to the book: Data Assimilation Fundamental: A unified formulation for state and parameter est…
  ☆52Updated 3 months ago
• ToshiyukiBandai / PINNs_RRE
  Physics-informed neural networks for the Richardson-Richards equation
  ☆28Updated 4 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
• ptandeo / AnDA
  ¡AnDA! is a Python library for the Analog Data Assimilation.
  ☆28Updated 3 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
• hrkz / torchqg
  Quasi-geostrophic spectral solver in PyTorch
  ☆18Updated 2 years ago
• thunderhoser / cira_uq4ml
  Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere
  ☆17Updated 2 years ago
• jeremygibbs / pyBurgers
  One-dimensional DNS and LES of Burgers turbulence written in Python
  ☆29Updated last year
• 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 7 years ago
• NCAR / mlmicrophysics
  Machine learning emulators for microphysical processes.
  ☆13Updated 3 months ago
• 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
• m2lines / L96_demo
  Lorenz 1996 two time-scale model for learning machine learning
  ☆53Updated 6 months ago
• brajard / GMD-code
  ☆12Updated 2 years ago
• passaH2O / dorado
  For shallow-water Lagrangian particle routing.
  ☆59Updated last month
• RBTV1 / SWE-GNN-paper-repository-
  Code repository for paper "Rapid Spatio-Temporal Flood Modelling via Hydraulics-Based Graph Neural Networks"
  ☆45Updated last year
• thetisproject / thetis
  Finite element flow solver for simulating coastal and estuarine flows.
  ☆73Updated this week
• jostbr / shallow-water
  Python model solving the shallow water equations (linear momentum, nonlinear continuity)
  ☆165Updated 4 years ago
• drsteve / PyForecastTools
  Forecast Verification/Validation Tools in Python
  ☆35Updated 2 years ago
• ashesh6810 / RCESN_spatio_temporal
  Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN
  ☆43Updated 4 years ago
• dwelter / pestpp
  PEST++ inverse model project
  ☆32Updated 6 years ago
• uDALES / u-dales
  uDALES: large-eddy-simulation software for urban flow, dispersion and microclimate modelling
  ☆66Updated this week
• 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.
  ☆38Updated last year
• amanzi / ats
  Advanced Terrestrial Simulator (ATS) development
  ☆50Updated last week