ai2cm / indexLinks
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- Simple examples of data pipelines from xarray to ML training☆22Updated 5 years ago
- A ML-oriented generic patcher for xarray data structures.☆18Updated 4 months ago
- 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
- ECMWF Summer of Weather Code 2020 challenges☆49Updated 4 years ago
- An organizational meta-repo with pointers to all of the myriad educational materials available today (in any form)☆32Updated 4 years ago
- Lorenz 1996 two time-scale model for learning machine learning☆52Updated 5 months ago
- a collection of remote climate data accessed via intake cached to disk☆19Updated last week
- ML Datasets Catalog☆58Updated 2 years ago
- Experiments demonstrating coupled online learning for machine learning parameterizations☆22Updated 2 years ago
- material for the CSU-led machine learning tutorial for earth science research☆90Updated 3 years ago
- Easy emulating of geophysical models including (but not limited to!) Earth System Models.☆57Updated 4 months ago
- a toolbox for Earth System Model analysis☆29Updated 3 years ago
- ☆21Updated 7 months ago
- Intake-esm Datastore☆14Updated 3 weeks ago
- Interactivate plotting of NetCDF data in Python☆13Updated last year
- A simple way to evaluate Copernicus Climate Change (C3S) seasonal forecasts monthly data☆13Updated 3 years ago
- Python code for "Applications of Deep Learning to Ocean Data Inference and Sub-Grid Parameterisation" (https://doi.org/10.1029/2018MS0014…☆48Updated 6 years ago
- Research and experiments for downscaling climate/weather data via generative learning☆34Updated 3 years ago
- Tools for working with machine learning in earth science☆96Updated last year
- Examples of analysis of CESM LENS data publicly available on Amazon S3 (us-west-2 region) using xarray and dask☆45Updated last year
- a benchmark dataset for training and evaluating global cloud classification models.☆29Updated 2 years ago
- Benchmarking of machine learning and numerical weather prediction (MLWP & NWP) models, with a focus on extreme events.☆57Updated this week
- Predicting Fuel Load from earth observation data using Machine Learning☆17Updated 4 years ago
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- Satellite Optical Flow with machine learning models☆62Updated last year
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- Scripts for benchmarking performance of Zarr and HDF5 in different contexts☆11Updated 6 years ago
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- Tutorial created by Chelle Gentemann for Ocean Sciences 2020 Meeting☆32Updated 4 years ago