climate-forecasting

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sakshi-mavani / gnn-climate-forecast

Spatiotemporal Climate Forecasting using Graph Neural Networks (GCN, GAT, GCN-LSTM) with FastAPI and Render Deployment.

python docker data-science machine-learning deep-learning time-series render pytorch lstm forecasting climate-science gcn climate-forecasting gat fastapi gnn graph-neural-network

Updated Jun 8, 2026
Python

svd009 / Quantum-Enhanced-Continual-Learning-Fabric-for-Planetary-Climate-Adaptation

Star

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

machine-learning deep-learning pytorch climate-forecasting ewc pinn federated-learning continual-learning multi-agent-reinforcement-learning marl physics-informed-neural-networks

Updated May 31, 2026
Python

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