Alternatives and similar repositories for ml4ssh

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

• francois-rozet / sda
  Official implementation of Score-based Data Assimilation
  ☆69Updated last year
• StevePny / DataAssimBench
  Benchmarking tools for applying AI/ML to data assimilation
  ☆20Updated 2 months ago
• johertrich / Proximal_Neural_Networks
  Implementation for Proximal Neural Networks.
  ☆11Updated 3 years ago
• louity / qgm_pytorch
  PyTorch implemetation of multi-layer quasi-geostrophic model on rectangular domain with solid boundaries.
  ☆13Updated 3 years ago
• CIA-Oceanix / 4dvarnet-starter
  Streamlined version of the 4dvarnet algorithm: probably a good starting point to understand and applying it
  ☆12Updated 3 months ago
• ai2cm / fv3net
  explore the FV3 data for parameterization
  ☆17Updated 7 months ago
• mingdeyu / DGP
  Python package 'dgpsi' for deep and linked Gaussian process emulations
  ☆27Updated this week
• FabianAltekrueger / patchNR
  Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization".
  ☆20Updated last year
• pbalapra / dl-pbl
  Fast domain-aware neural network emulation of a planetary boundary layer parameterization in a numerical weather forecast model
  ☆12Updated 6 years ago
• p-hss / consistency-climate-downscaling
  ☆31Updated 3 months ago
• tbeucler / CBRAIN-CAM
  Code for neural network parameterization project
  ☆19Updated last year
• googleinterns / invobs-data-assimilation
  ☆38Updated 4 years ago
• ptandeo / AnDA
  ¡AnDA! is a Python library for the Analog Data Assimilation.
  ☆28Updated 3 years ago
• duncanwp / ESEm
  Easy emulating of geophysical models including (but not limited to!) Earth System Models.
  ☆58Updated 4 months ago
• ECMWFCode4Earth / Elefridge.jl
  Compressing atmospheric data into its real information
  ☆22Updated 3 years ago
• darc-reading / DA-training-2024
  2024 University of Reading data assimilation training course practical
  ☆10Updated 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…
  ☆49Updated 6 years ago
• raspstephan / CBRAIN-CAM
  Code for neural network parameterization project
  ☆74Updated 5 years ago
• openclimatefix / diffusion_weather
  Testing out Diffusion-based models for weather and PV forecasting
  ☆14Updated last month
• EUPP-benchmark / climetlab-eumetnet-postprocessing-benchmark
  A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
  ☆31Updated 9 months ago
• ai2es / miles-guess
  Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.
  ☆27Updated last month
• jejjohnson / oceanbench
  OceanBench - SSH edition
  ☆21Updated last year
• earthnet2021 / earthnet-model-intercomparison-suite
  ☆41Updated last year
• CIA-Oceanix / DinAE_4DVarNN_torch
  ☆9Updated 3 years ago
• NVlabs / cBottle
  A generative foundation model for the kilometer-scale atmosphere
  ☆65Updated last month
• Sea-Meets-the-Stars / ulmo
  OOD on SST data
  ☆12Updated 4 months ago
• jejjohnson / jaxsw
  Simple differentiable approximate ocean models built with JAX.
  ☆16Updated last year
• lucadellalib / bayestorch
  Lightweight Bayesian deep learning library for fast prototyping based on PyTorch
  ☆13Updated 2 years ago
• leobix / hurricast
  ☆21Updated 8 months ago
• thunderhoser / cira_uq4ml
  Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere
  ☆17Updated 2 years ago