leap-stc / LEAPCourse-Climate-Pred-ChallengesLinks
A project-based learning course where teams of climate science and data science students collaborate to create machine learning predictive models for challenges inspired by LEAP's research
☆39Updated 6 months ago
Alternatives and similar repositories for LEAPCourse-Climate-Pred-Challenges
Users that are interested in LEAPCourse-Climate-Pred-Challenges are comparing it to the libraries listed below
Sorting:
- machine learning for the atmospheric sciences - a CSU course☆34Updated 2 years ago
- ML Datasets Catalog☆59Updated 2 years ago
- How to predict extreme events in climate using rare event algorithms and modern tools of machine learning☆24Updated 8 months ago
- 🌍 A curated list of MIT faculty that tackle climate change with machine learning for applying students, undergraduates, or others☆53Updated 3 months ago
- ☆33Updated last year
- ☆37Updated last week
- ☆14Updated 5 years ago
- Notes and practicals for my "Physics of the Climate System" lecture☆29Updated last year
- Evolutionary Algorithms code examples. UC Davis ECI 263.☆16Updated 7 years ago
- Climate analysis toolbox to investigate teleconnections, test for causality, and make forecasts.☆33Updated 2 years ago
- Research and experiments for downscaling climate/weather data via generative learning☆36Updated 3 years ago
- A python course intended to provide a thorough grounding for those working in the earth sciences☆36Updated 8 years ago
- Figure and data generation for Chapter 7 of the IPCC's Sixth Assessment Report, Working Group 1 (plus assorted other contributions)☆38Updated 2 years ago
- ☆106Updated last year
- Beta for Pangeo Postprocessing☆17Updated 5 years ago
- ☆18Updated this week
- ☆20Updated 5 months ago
- Climate Analytics using Deep Neural Networks in Python.☆66Updated 2 years ago
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Updated 3 years ago
- Generalized Analog Regression Downscaling (GARD) code☆33Updated last year
- ☆23Updated 3 weeks ago
- Lorenz 1996 two time-scale model for learning machine learning☆56Updated last week
- Python code and Jupyter notebooks support the manuscript "Relative contributions of large-scale atmospheric circulation dynamics and anth…☆16Updated 2 years ago
- ☆14Updated 4 years ago
- A super lightweight Lagrangian model for calculating millions of trajectories using ERA5 data☆42Updated 3 months ago
- Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of…☆56Updated 10 months ago
- Bias correction of air quality CAMS model predictions by using OpenAQ observations.☆12Updated 4 years ago
- Google Collab Notebooks for the UNIL Spring 2022 course on ML for Earth and Environmental Sciences☆14Updated 3 years ago
- Easy emulating of geophysical models including (but not limited to!) Earth System Models.☆59Updated 8 months ago
- Making it far easier to read in and work with large volumes of climate model output from CMIP5/6☆21Updated 5 years ago