Alternatives and similar repositories for ml4ssh

Users that are interested in ml4ssh are comparing it to the libraries listed below

• StevePny / DataAssimBench
  Benchmarking tools for applying AI/ML to data assimilation
  ☆16Updated this week
• NVlabs / cBottle
  A generative foundation model for the kilometer-scale atmosphere
  ☆46Updated this week
• yongquan-qu / SLAMS
  SLAMS: Score-based Latent Assimilation in Multimodal Setting
  ☆37Updated last year
• jejjohnson / oceanbench
  OceanBench - SSH edition
  ☆20Updated last year
• francois-rozet / sda
  Official implementation of Score-based Data Assimilation
  ☆61Updated last year
• CIA-Oceanix / 4dvarnet-starter
  Streamlined version of the 4dvarnet algorithm: probably a good starting point to understand and applying it
  ☆10Updated last month
• louity / qgm_pytorch
  PyTorch implemetation of multi-layer quasi-geostrophic model on rectangular domain with solid boundaries.
  ☆11Updated 3 years 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
• thunderhoser / cira_uq4ml
  Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere
  ☆16Updated 2 years ago
• jejjohnson / xrpatcher
  A ML-oriented generic patcher for xarray data structures.
  ☆17Updated 3 months ago
• ai2cm / fv3net
  explore the FV3 data for parameterization
  ☆17Updated 5 months ago
• RJArthern / WAVI.jl
  WAVI ice sheet model
  ☆31Updated last month
• duncanwp / ESEm
  Easy emulating of geophysical models including (but not limited to!) Earth System Models.
  ☆57Updated 2 months ago
• tbeucler / CBRAIN-CAM
  Code for neural network parameterization project
  ☆19Updated last year
• christophkeller / fortran2xgb
  Call XGBoost from Fortran
  ☆12Updated last year
• ptandeo / AnDA
  ¡AnDA! is a Python library for the Analog Data Assimilation.
  ☆28Updated 3 years ago
• jswhit / sqgturb
  Python codes for studying predictability and data assimlation with a surface quasi-geostrophic turbulence model
  ☆32Updated 2 months ago
• m2lines / L96_demo
  Lorenz 1996 two time-scale model for learning machine learning
  ☆51Updated 4 months ago
• googleinterns / invobs-data-assimilation
  ☆36Updated 4 years ago
• cbuelt / dduq
  Uncertainty quantification for data-driven weather models.
  ☆11Updated last month
• ai2es / miles-guess
  Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.
  ☆27Updated 8 months ago
• spcl / ens10
  Scripts and examples for the ENS-10 Ensemble Prediction System machine learning dataset
  ☆29Updated 2 years ago
• ECMWFCode4Earth / Elefridge.jl
  Compressing atmospheric data into its real information
  ☆22Updated 3 years ago
• nbren12 / uwnet
  Neural Networks based unified physics parameterization for atmospheric models
  ☆4Updated last year
• bgroenks96 / generative-downscaling
  Research and experiments for downscaling climate/weather data via generative learning
  ☆34Updated 3 years ago
• raspstephan / Lorenz-Online
  Experiments demonstrating coupled online learning for machine learning parameterizations
  ☆21Updated 2 years ago
• Sea-Meets-the-Stars / ulmo
  OOD on SST data
  ☆12Updated 2 months 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 2 months ago
• drsteve / PyForecastTools
  Forecast Verification/Validation Tools in Python
  ☆34Updated 2 years ago
• openclimatefix / diffusion_weather
  Testing out Diffusion-based models for weather and PV forecasting
  ☆14Updated 2 months ago