Alternatives and similar repositories for Model-Ensembler

Users that are interested in Model-Ensembler are comparing it to the libraries listed below

• 0xshipthecode / ndw-climate
  ☆15Updated 11 years ago
• googleinterns / invobs-data-assimilation
  ☆36Updated 4 years ago
• pjpetersik / ninolearn
  NinoLearn is a research framework for statistical ENSO prediction.
  ☆10Updated 4 years ago
• peernow / CME_NCOMMS_2020
  Supplementary files and scripts for Nowack et al., Causal networks for climate model evaluation and constrained projections, Nature Commu…
  ☆19Updated 3 years ago
• magudelo / DataAssimilationToolboxMatlab
  ☆10Updated 4 years ago
• USGS-R / river-dl
  Deep learning model for predicting environmental variables on river systems
  ☆21Updated 2 years ago
• jnelson18 / pyquantrf
  Here is a [quantile random forest](http://jmlr.org/papers/v7/meinshausen06a.html) implementation that utilizes the [SciKitLearn](https://…
  ☆18Updated 5 months ago
• pankajkarman / HyTraj
  Implementation of HySPLIT based trajectory modeling and analysis in python.
  ☆7Updated 10 months ago
• kuchaale / X-regression
  Multiple linear regression from Statsmodels library coupled with Xarray library
  ☆14Updated 5 years ago
• ashesh6810 / machine_learning_for_climate
  A set of pre-processing codes, A deep convolutional neural net and post-processing codes for classifying turbulent climate patterns
  ☆12Updated 6 years ago
• cerea-daml / fnn
  Toolbox to use NNs in fortran
  ☆12Updated 2 years ago
• NCAR / ai4ess-hackathon-2020-notebooks
  ☆14Updated 4 years ago
• raspstephan / Lorenz-Online
  Experiments demonstrating coupled online learning for machine learning parameterizations
  ☆21Updated 2 years ago
• klapo / wavelet-recipes
  My recipes for doing continuous wavelet and biwavelet analysis.
  ☆11Updated 3 years ago
• zzhang222 / Bayesian-PINN-Pytorch
  ☆15Updated 3 years ago
• eabarnes1010 / controlled_abstention_networks
  Neural network loss functions for regression and classification tasks that can say "I don't know".
  ☆13Updated 3 years ago
• pierremtb / POD-UQNN
  Uncertainty Quantification in the POD-NN framework
  ☆22Updated 4 years ago
• OuyangWenyu / torchhydro
  TorchHydro: datasets, and models for watershed hydrological modeling
  ☆17Updated this week
• martin-rdz / trace_airmass_source
  Trajectory analysis software, that produces time height cross sections with residencte time clustered by surface type.
  ☆10Updated 8 months ago
• georgemilosh / Climate-Learning
  How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
  ☆22Updated 2 months ago
• hetland / data_assimilation
  OCNG/ATMO 677 Geophysical Data Assimilation
  ☆13Updated 8 years ago
• 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
• jnelson18 / TranspirationEstimationAlgorithm
  A method of estimating transpiration directly from carbon, water, and energy fluxes, such as eddy covariance datasets
  ☆13Updated 2 years ago
• RBTV1 / mSWE-GNN
  Code repository for paper "Multi-scale hydraulic graph neural networks for flood modelling"
  ☆16Updated 4 months ago
• alan-turing-institute / mogp-emulator
  Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
  ☆49Updated last year
• aleksada / DeepKriging
  ☆52Updated 2 years ago
• geirev / EnKF_seir
  EnKF_seir
  ☆22Updated 3 years ago
• eabarnes1010 / course_ml_ats
  machine learning for the atmospheric sciences - a CSU course
  ☆32Updated last year
• Ambrosys / climatelearn
  El nino forecast based on a few machine learning methods
  ☆24Updated 8 years ago
• nicolasfauchereau / climate_data_analytics
  Material (Jupyter Notebooks) for the University of Otago Climate Data and Analytics Workshop (26 May 2022)
  ☆13Updated 3 years ago