A High-Performance Data Science Toolkit for the Earth Sciences
Zeus Subnet leverages AI to forecast environmental variables using real-time global data. It incentivizes innovation in climate science by enabling miners and validators to develop and evolve efficient, decentralized prediction models.
Hydrology and Climate Forecasting R package
Forecasting climate change using deep learning in Keras
AClimate official website
My solution to the challenge Regional Climate Forecasting which won the 1st place on the private ranking.
This project contains demonstrations for the lesson ML for Kids - AI for Good
Final project for UCSD CSE 151B Deep Learning Kaggle Competition. Our U-Net model placed 9th out of 83 teams.
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