Alternatives and similar repositories for torchda:

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

• Shady-Ahmed / PyDA
  PyDA: A hands-on introduction to dynamical data assimilation with Python
  ☆67Updated 4 years 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
• thiery-lab / data-assimilation
  Python code for data assimilation methods
  ☆47Updated 2 years ago
• ecosme38 / Data-Assimilation-Notebooks
  ☆57Updated last year
• 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
• p-hss / consistency-climate-downscaling
  ☆22Updated last week
• m2lines / L96_demo
  Lorenz 1996 two time-scale model for learning machine learning
  ☆51Updated 3 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
• NCAR / miles-credit
  MILES Community Research Digital Intelligence Twin (CREDIT): research platform for AI numerical weather prediction models.
  ☆26Updated last week
• thunderhoser / cira_uq4ml
  Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere
  ☆16Updated 2 years ago
• XiongWeiTHU / Awesome-AI-for-Atmosphere-and-Ocean
  Awesome paper about AI for atmosphere science and oceanography
  ☆31Updated last year
• robbiewatt1 / ClimateDiffuse
  Diffusion for climate downscaling
  ☆57Updated 10 months ago
• RBTV1 / SWE-GNN-paper-repository-
  Code repository for paper "Rapid Spatio-Temporal Flood Modelling via Hydraulics-Based Graph Neural Networks"
  ☆41Updated last year
• deinal / seacast
  Regional Ocean Forecasting with Hierarchical Graph Neural Networks
  ☆13Updated this week
• jswhit / sqgturb
  Python codes for studying predictability and data assimlation with a surface quasi-geostrophic turbulence model
  ☆31Updated last month
• ecmwf / anemoi-inference
  ☆28Updated this week
• NCAR / mlmicrophysics
  Machine learning emulators for microphysical processes.
  ☆13Updated 6 months ago
• christophkeller / fortran2xgb
  Call XGBoost from Fortran
  ☆12Updated last year
• pyqg / pyqg
  Quasigeostrophic model in python
  ☆142Updated this week
• MeteoSwiss / ai-models-ensembles
  Generating Weather Model Ensembles Using ecmwf-lab/ai-models
  ☆13Updated 5 months ago
• nansencenter / DA-tutorials
  Tutorials on data assimilation (DA) and the EnKF
  ☆156Updated last week
• ecmwf / anemoi-core
  Core packages for Anemoi.
  ☆39Updated this week
• ECMWFCode4Earth / diffusion-models-for-weather-prediction
  ☆24Updated last year
• milankl / swm
  Shallow water equations solver with finite differences written in Python. Arakawa C-grid, Arakawa and Lamb advection scheme, Shchepetkin …
  ☆48Updated last year
• francois-rozet / sda
  Official implementation of Score-based Data Assimilation
  ☆58Updated last year
• geirev / Data-Assimilation-Fundamentals
  This repository is a resource complementary to the book: Data Assimilation Fundamental: A unified formulation for state and parameter est…
  ☆49Updated 2 weeks ago
• ecmwf / anemoi-datasets
  ☆52Updated this week
• ecmwf-lab / ai-models-fourcastnetv2
  ☆65Updated last year
• googleinterns / invobs-data-assimilation
  ☆35Updated 3 years ago
• ai2cm / ace
  Ai2 Climate Emulator
  ☆92Updated 2 months ago