Alternatives and similar repositories for mogp-emulator:

Users that are interested in mogp-emulator are comparing it to the libraries listed below

• mingdeyu / DGP
  Python package 'dgpsi' for deep and linked Gaussian process emulations
  ☆21Updated 2 weeks ago
• dg227 / NLSA
  Kernel methods for statistical modeling of dynamical systems
  ☆24Updated 2 weeks ago
• duncanwp / ESEm
  Easy emulating of geophysical models including (but not limited to!) Earth System Models.
  ☆55Updated last year
• mjucker / MiMA
  Model of an idealized Moist Atmosphere: Intermediate-complexity General Circulation Model with full radiation
  ☆34Updated last year
• ptandeo / AnDA
  ¡AnDA! is a Python library for the Analog Data Assimilation.
  ☆28Updated 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
• ai2cm / fv3net
  explore the FV3 data for parameterization
  ☆17Updated 3 weeks ago
• georgemilosh / Climate-Learning
  How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
  ☆20Updated last month
• maikejulie / DNN4Cli
  Code for Sonnewald and Lguensat 2021
  ☆21Updated last year
• francois-rozet / sda
  Official implementation of Score-based Data Assimilation
  ☆45Updated last year
• m2lines / L96_demo
  Lorenz 1996 two time-scale model for learning machine learning
  ☆45Updated 2 months ago
• raspstephan / Lorenz-Online
  Experiments demonstrating coupled online learning for machine learning parameterizations
  ☆20Updated last year
• m2lines / pyqg_parameterization_benchmarks
  Public-facing git repository for JAMES submission, "Benchmarking of machine learning ocean parameterizations in an idealized model"
  ☆11Updated last year
• Shady-Ahmed / PyDA
  PyDA: A hands-on introduction to dynamical data assimilation with Python
  ☆66Updated 4 years ago
• senclimate / XRO
  XRO: Extended nonlinear Recharge Oscillator model
  ☆13Updated 7 months ago
• jejjohnson / gp_model_zoo
  Literature and light wrappers for gaussian process models.
  ☆45Updated 3 years ago
• CliMA / EnsembleKalmanProcesses.jl
  Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.
  ☆91Updated this week
• ecosme38 / Data-Assimilation-Notebooks
  ☆56Updated last year
• karlotness / pyqg-jax
  Quasigeostrophic model in JAX (port of PyQG)
  ☆18Updated last month
• acse-jm122 / torchda
  Use Deep Learning in Data Assimilation
  ☆31Updated 2 weeks ago
• RJArthern / WAVI.jl
  WAVI ice sheet model
  ☆29Updated 2 months ago
• a-attia / DATeS
  A Highly-Extensible Data Assimilation Testing Suite
  ☆10Updated 5 years ago
• cemac / LIFD_ENV_ML_NOTEBOOKS
  Jupyter notebook tutorials on various machine learning topics
  ☆24Updated last week
• bgroenks96 / generative-downscaling
  Research and experiments for downscaling climate/weather data via generative learning
  ☆34Updated 2 years ago
• ocean-next / eNATL60
  This repository describes eNATL60 simulations performed by Ocean Next and the MEOM group @ IGE in 2019.
  ☆25Updated last year
• scotthosking / get-station-data
  Easily grab weather station data from around the globe (e.g. GHCN)
  ☆27Updated last year
• lanl / SEPIA
  Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.
  ☆33Updated last year
• thiery-lab / data-assimilation
  Python code for data assimilation methods
  ☆44Updated last year
• louity / qgm_pytorch
  PyTorch implemetation of multi-layer quasi-geostrophic model on rectangular domain with solid boundaries.
  ☆10Updated 2 years ago
• googleinterns / invobs-data-assimilation
  ☆33Updated 3 years ago