Ushnish-Sengupta / Model-EnsemblerLinks
Code and pretrained models accompanying the paper "Ensembling geophysical models using Bayesian Neural Networks"
☆11Updated 3 years ago
Alternatives and similar repositories for Model-Ensembler
Users that are interested in Model-Ensembler are comparing it to the libraries listed below
Sorting:
- NinoLearn is a research framework for statistical ENSO prediction.☆10Updated 5 years ago
- ☆15Updated 11 years ago
- Experiments demonstrating coupled online learning for machine learning parameterizations☆22Updated 2 years ago
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Updated 4 years ago
- Trajectory analysis software, that produces time height cross sections with residencte time clustered by surface type.☆12Updated 4 months ago
- Neural Network code for the paper Neural Network Code for the paper 'Viewing Forced Climate Patterns through an AI Lens' by Elizabeth A. …☆11Updated 6 years ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆15Updated 2 years ago
- ☆16Updated last week
- A set of pre-processing codes, A deep convolutional neural net and post-processing codes for classifying turbulent climate patterns☆12Updated 7 years ago
- ☆14Updated 5 years ago
- My recipes for doing continuous wavelet and biwavelet analysis.☆13Updated 3 years ago
- Toolbox to use NNs in fortran☆12Updated last week
- Fast domain-aware neural network emulation of a planetary boundary layer parameterization in a numerical weather forecast model☆12Updated 6 years ago
- Multiple linear regression from Statsmodels library coupled with Xarray library☆14Updated 6 years ago
- Supplementary files and scripts for Nowack et al., Causal networks for climate model evaluation and constrained projections, Nature Commu…☆19Updated 4 years ago
- OCNG/ATMO 677 Geophysical Data Assimilation☆13Updated 9 years ago
- ☆10Updated 5 years ago
- TorchHydro: datasets, and models for watershed hydrological modeling☆21Updated last month
- A method of estimating transpiration directly from carbon, water, and energy fluxes, such as eddy covariance datasets☆14Updated 2 years ago
- machine learning for the atmospheric sciences - a CSU course☆34Updated 2 years ago
- EnKF_seir☆23Updated 4 years ago
- Implementation of a radiative-convective equilibrium model.☆22Updated last month
- Code repository for paper "Multi-scale hydraulic graph neural networks for flood modelling"☆17Updated last month
- Deep learning model for predicting environmental variables on river systems☆21Updated 2 years ago
- R&D Python package for processing ICON data with xarray☆10Updated 2 years ago
- Here is a [quantile random forest](http://jmlr.org/papers/v7/meinshausen06a.html) implementation that utilizes the [SciKitLearn](https://…☆18Updated 11 months ago
- A line-by-line radiation code for planetary atmospheres. Now with shortwave radiative transfer.☆11Updated last year
- Python package 'dgpsi' for deep and linked Gaussian process emulations☆28Updated last week
- Jupyter notebooks for research and teaching☆10Updated 3 years ago
- Profile Classification Modelling (PCM) is an ocean data analysis method based on un-supervised classification of vertical profiles☆22Updated 6 years ago