Neural network loss functions for regression and classification tasks that can say "I don't know".
☆13Dec 2, 2021Updated 4 years ago
Alternatives and similar repositories for controlled_abstention_networks
Users that are interested in controlled_abstention_networks are comparing it to the libraries listed below
Sorting:
- xarray-based wavelet analysis☆16Oct 14, 2022Updated 3 years ago
- Neural Network code for the paper Neural Network Code for the paper 'Viewing Forced Climate Patterns through an AI Lens' by Elizabeth A. …☆11Nov 9, 2019Updated 6 years ago
- ☆15Jun 4, 2014Updated 11 years ago
- Trajectory analysis software, that produces time height cross sections with residencte time clustered by surface type.☆12Aug 3, 2025Updated 7 months ago
- Working repository for planning/execution of the "Time of Emergence" project at the CMIP6 Hackathon☆15Oct 23, 2019Updated 6 years ago
- ☆14Jul 1, 2020Updated 5 years ago
- Deep learning tutorial for predicting low-level rotation.☆18Jun 26, 2018Updated 7 years ago
- This repository contains scripts for Python Module for Climate Data Analysis and Visualization, which is under development. The module pe…☆19Apr 14, 2025Updated 10 months ago
- machine learning for the atmospheric sciences - a CSU course☆34Oct 30, 2023Updated 2 years ago
- a toolbox for Earth System Model analysis☆29Aug 8, 2021Updated 4 years ago
- ☆21Nov 19, 2020Updated 5 years ago
- Climate analysis toolbox to investigate teleconnections, test for causality, and make forecasts.☆33Jan 2, 2023Updated 3 years ago
- Supplementary files and scripts for Nowack et al., Causal networks for climate model evaluation and constrained projections, Nature Commu…☆19Aug 17, 2021Updated 4 years ago
- diagnostic analyses and calculations in contour-based coordinates☆18Aug 20, 2024Updated last year
- A lightweight machine learning framework for Xarray☆22Nov 28, 2023Updated 2 years ago
- Making it far easier to read in and work with large volumes of climate model output from CMIP5/6☆21Oct 13, 2020Updated 5 years ago
- Code and pretrained models accompanying the paper "Ensembling geophysical models using Bayesian Neural Networks"☆10Jul 11, 2022Updated 3 years ago
- R&D Python package for processing ICON data with xarray☆10Jul 26, 2023Updated 2 years ago
- Google Collab Notebooks for the UNIL Spring 2022 course on ML for Earth and Environmental Sciences☆14Aug 18, 2022Updated 3 years ago
- ☆24Apr 3, 2023Updated 2 years ago
- python package for cesm output diagnosis☆24Jun 21, 2019Updated 6 years ago
- A Python package to facilitate synthesis and analysis of Earth system data.☆10May 5, 2025Updated 10 months ago
- Create boundary and initial conditions for WRF-Chem simulation☆16Updated this week
- NinoLearn is a research framework for statistical ENSO prediction.☆10Jul 10, 2020Updated 5 years ago
- Linear Regression for data set with correlated or uncorrelated uncertainties in both axes.☆12Updated this week
- A Python package of algorithms used to identify jet streams, based on xarray.☆31Mar 1, 2026Updated last week
- Methods to extract advective, diffusive, stochastic and active transport barriers from 2D and 3D data.☆28Jun 18, 2024Updated last year
- Detection and Tracking of Tropical Cyclones☆30Dec 6, 2015Updated 10 years ago
- A set of pre-processing codes, A deep convolutional neural net and post-processing codes for classifying turbulent climate patterns☆12Jul 19, 2018Updated 7 years ago
- Python code to create the Observational Large Ensemble.☆11Feb 13, 2023Updated 3 years ago
- Scripts to calculate moment diagnostics for the stratospheric polar vortex☆14Dec 11, 2018Updated 7 years ago
- ☆13Jan 6, 2023Updated 3 years ago
- ☆15May 17, 2023Updated 2 years ago
- ☆110Jun 10, 2021Updated 4 years ago
- This repository contains scripts to apply the MTM-SVD analysis method to climate data and model outputs. It is a direct adaptation of the…☆16Jul 6, 2020Updated 5 years ago
- PNAS -- Historical change of El Niño properties sheds light on future changes of extreme El Niño☆12Jul 10, 2022Updated 3 years ago
- codes for reproducing the results presented in the manuscript by Xia et al.☆10May 21, 2022Updated 3 years ago
- Bias correction of air quality CAMS model predictions by using OpenAQ observations.☆12Sep 17, 2021Updated 4 years ago
- Materials for the Machine Learning in Python for Environmental Science Problems AMS 2020 Short Course☆29Jan 23, 2020Updated 6 years ago