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.
Spatiotemporal Climate Forecasting using Graph Neural Networks (GCN, GAT, GCN-LSTM) with FastAPI and Render Deployment.
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
This project contains demonstrations for the lesson ML for Kids - AI for Good
Arquitecturas híbridas para el pronóstico de series temporales en el Distrito Metropolitano de Quito (DMQ).
AClimate official website
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