ClimateLearn
What is ClimateLearn?
ClimateLearn is a Python library for accessing state-of-the-art climate data and machine learning models in a standardized, straightforward way. This library provides access to multiple datasets, a zoo of baseline approaches, and a suite of metrics and visualizations for large-scale benchmarking of statistical downscaling and temporal forecasting methods.
Note
This project is under active development.
About Us
ClimateLearn is managed by the Machine Intelligence Group at UCLA, headed by Professor Aditya Grover.
Getting Started
Please see the quickstart section of our GitHub repository.
User Guide
Development Guide