aditya-grover/climate-learn
Source code for ClimateLearn
ClimateLearn helps climate scientists and researchers evaluate and compare different machine learning models for weather forecasting and climate projection. It takes in various climate datasets and outputs standardized model benchmarks, performance metrics, and visualizations. This is ideal for scientists working on understanding and predicting climate patterns.
352 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need a standardized way to access climate data and benchmark different machine learning approaches for tasks like statistical downscaling or temporal climate forecasting.
Not ideal if you are looking for a ready-to-use climate model without needing to compare or benchmark various machine learning techniques.
Stars
352
Forks
53
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 16, 2024
Commits (30d)
0
Dependencies
12
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