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
My solution to the challenge Regional Climate Forecasting which won the 1st place on the private ranking.
Federated continual learning system for planetary climate forecasting. Combines FedAvg, Elastic Weight Consolidation, Physics-Informed Neural Networks, and Multi-Agent PPO across 3 geographic nodes. 29 tests · CI/CD · PyTorch
AClimate official website
This project contains demonstrations for the lesson ML for Kids - AI for Good
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