Ushnish-Sengupta / Model-EnsemblerLinks
Code and pretrained models accompanying the paper "Ensembling geophysical models using Bayesian Neural Networks"
☆11Updated 2 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:
- ☆15Updated 11 years ago
- NinoLearn is a research framework for statistical ENSO prediction.☆10Updated 4 years ago
- ☆14Updated 4 years ago
- Code repository for paper "Multi-scale hydraulic graph neural networks for flood modelling"☆16Updated 5 months ago
- Code for neural network parameterization project☆19Updated last year
- ☆37Updated 4 years ago
- Experiments demonstrating coupled online learning for machine learning parameterizations☆21Updated 2 years ago
- EnKF_seir☆22Updated 3 years ago
- My recipes for doing continuous wavelet and biwavelet analysis.☆12Updated 3 years ago
- Software for training, running and analyzing a Deep Learning Earth System Model (DLESyM)☆10Updated last week
- Python package based on PyTorch and Dask for efficient and parallelized data assimilation of weather model data and observations on GPUs.☆14Updated 4 months ago
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Updated 3 years ago
- A set of pre-processing codes, A deep convolutional neural net and post-processing codes for classifying turbulent climate patterns☆12Updated 6 years ago
- Multiple linear regression from Statsmodels library coupled with Xarray library☆14Updated 5 years ago
- Implementation of HySPLIT based trajectory modeling and analysis in python.☆7Updated 11 months ago
- Python package 'dgpsi' for deep and linked Gaussian process emulations☆27Updated 5 months ago
- Supplementary files and scripts for Nowack et al., Causal networks for climate model evaluation and constrained projections, Nature Commu…☆19Updated 3 years ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆14Updated 2 years ago
- OCNG/ATMO 677 Geophysical Data Assimilation☆13Updated 8 years ago
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆49Updated last year
- Uncertainty Quantification in the POD-NN framework☆22Updated 4 years ago
- A method of estimating transpiration directly from carbon, water, and energy fluxes, such as eddy covariance datasets☆13Updated 2 years ago
- Python line-by-line radiative transfer model☆11Updated last year
- How to predict extreme events in climate using rare event algorithms and modern tools of machine learning☆22Updated 3 months ago
- Deep learning model for predicting environmental variables on river systems☆21Updated 2 years ago
- ☆10Updated 5 years ago
- Toolbox to use NNs in fortran☆12Updated last week
- Pythie is a Python package to postprocess weather forecasts. Presently, it contains the modules: MBM: a module to make member-by-member e…☆11Updated 2 years ago
- Jupyter notebooks for research and teaching☆10Updated 3 years ago
- Trajectory analysis software, that produces time height cross sections with residencte time clustered by surface type.☆10Updated 9 months ago