ai2cm / indexLinks
An index of our repositories
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- Simple examples of data pipelines from xarray to ML training☆22Updated 5 years ago
- Research and experiments for downscaling climate/weather data via generative learning☆34Updated 3 years ago
- ECMWF Summer of Weather Code 2020 challenges☆49Updated 4 years ago
- A ML-oriented generic patcher for xarray data structures.☆18Updated 6 months ago
- Easy emulating of geophysical models including (but not limited to!) Earth System Models.☆58Updated 5 months ago
- Tutorial created by Chelle Gentemann for Ocean Sciences 2020 Meeting☆32Updated 4 years ago
- 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
- a collection of remote climate data accessed via intake cached to disk☆19Updated last month
- Making it far easier to read in and work with large volumes of climate model output from CMIP5/6☆21Updated 4 years ago
- a toolbox for Earth System Model analysis☆29Updated 4 years ago
- A High-Performance Data Science Toolkit for the Earth Sciences☆68Updated last year
- Python package based on PyTorch and Dask for efficient and parallelized data assimilation of weather model data and observations on GPUs.☆14Updated 6 months ago
- Python wrapper for the FV3-based global climate model☆29Updated 3 years ago
- An organizational meta-repo with pointers to all of the myriad educational materials available today (in any form)☆32Updated 5 years ago
- Extended Sea Ice Outlook☆11Updated 6 years ago
- Discover the ECMWF Summer of Weather Code 2021 challenges!☆47Updated 3 years ago
- xarray-aware scikit-learn☆17Updated 3 years ago
- R&D Python package for processing ICON data with xarray☆10Updated 2 years ago
- PO.DAAC & NSIDC DAAC Github repository for AGU 2020 workshop.☆15Updated 4 years ago
- ☆18Updated 10 months ago
- Python code for "Applications of Deep Learning to Ocean Data Inference and Sub-Grid Parameterisation" (https://doi.org/10.1029/2018MS0014…☆49Updated 6 years ago
- material for the CSU-led machine learning tutorial for earth science research☆90Updated 3 years ago
- Repository for the UCI ESS Python tutorial series☆21Updated 6 years ago
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Updated 3 years ago
- Code for neural network parameterization project☆75Updated 5 years ago
- Tools for working with machine learning in earth science☆96Updated last year
- Forecasting wildfire danger using deep learning.☆53Updated 3 years ago
- Tutorial on building and using effective colormaps in climate science☆35Updated 5 years ago
- A set of GrADS functions in Python (hdivg, hcurl...)☆11Updated 4 years ago
- Explore the High-Resolution Rapid Refresh weather forecast output using Pyviz (hvplot and panel)☆14Updated last year