Alternatives and similar repositories for ensemblefilters

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

• Shady-Ahmed / PyDA
  PyDA: A hands-on introduction to dynamical data assimilation with Python
  ☆74Updated 4 years ago
• brajard / GMD-code
  ☆12Updated 3 years ago
• nansencenter / DA-tutorials
  Tutorials on data assimilation (DA) and the EnKF
  ☆176Updated this week
• thiery-lab / data-assimilation
  Python code for data assimilation methods
  ☆51Updated 2 years ago
• nansencenter / DAPPER
  Data Assimilation with Python: a Package for Experimental Research
  ☆390Updated 2 months ago
• ecosme38 / Data-Assimilation-Notebooks
  ☆58Updated last year
• duncanwp / ClimateBench
  ☆106Updated last year
• drsteve / PyForecastTools
  Forecast Verification/Validation Tools in Python
  ☆35Updated 2 years ago
• ptandeo / AnDA
  ¡AnDA! is a Python library for the Analog Data Assimilation.
  ☆28Updated 3 years ago
• NCAR / mlmicrophysics
  Machine learning emulators for microphysical processes.
  ☆14Updated 6 months ago
• djgagne / lorenz_gan
  Lorenz 96 model with GAN parameterization of unresolved scale (Y).
  ☆37Updated 5 years ago
• microsoft / subseasonal_toolkit
  Subseasonal forecasting models
  ☆54Updated 9 months ago
• alan-turing-institute / mogp-emulator
  Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
  ☆52Updated 2 years ago
• raspstephan / Lorenz-Online
  Experiments demonstrating coupled online learning for machine learning parameterizations
  ☆22Updated 2 years ago
• jweyn / DLWP-CS
  Deep learning models for global weather prediction on a cubed sphere
  ☆95Updated 5 years ago
• martinaragoneses / bma
  Routines for Bayesian Model Averaging.
  ☆33Updated 10 years ago
• m2lines / L96_demo
  Lorenz 1996 two time-scale model for learning machine learning
  ☆56Updated last week
• mlatcl / mlphysical
  Machine Learning and the Physical World module
  ☆29Updated last month
• georgemilosh / Climate-Learning
  How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
  ☆24Updated 7 months ago
• deepsphere / deepsphere-weather
  A spherical CNN for weather forecasting
  ☆73Updated 2 years ago
• royalosyin / A-Beginner-Guide-to-Carry-out-Extreme-Value-Analysis-with-Codes-in-Python
  A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential interv…
  ☆59Updated 8 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…
  ☆49Updated 7 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
• pangeo-data / mldata
  ML Datasets Catalog
  ☆59Updated 2 years ago
• ymchen0 / torchEnKF
  Code for the paper "Auto differentiable Ensemble Kalman Filters" (https://arxiv.org/abs/2107.07687), accepted for publication in SIAM Jou…
  ☆34Updated 3 years ago
• raspstephan / CBRAIN-CAM
  Code for neural network parameterization project
  ☆76Updated 5 years ago
• frodre / pyLIM
  A python-based linear inverse modeling suite
  ☆31Updated 6 years ago
• thunderhoser / cira_uq4ml
  Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere
  ☆19Updated 3 years ago
• andregraubner / ClimateNet
  Climate Analytics using Deep Neural Networks in Python.
  ☆65Updated 2 years ago
• xarray-contrib / xskillscore
  Metrics for verifying forecasts
  ☆237Updated last month