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LangGraph 1.0 Tutorial
Text-audio foundation model from Boson AI
End-to-end AI model for 24-hour solar irradiance forecasts across the USA
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
Implementation of the PyTorch version of the Weather Deep Learning Model Zoo.
MILES Community Research Digital Intelligence Twin (CREDIT): research platform for AI numerical weather prediction models.
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
XiChen: An observation-scalable end-to-end data-driven global weather forecasting system with 4D variational knowledge
[CVPR 2024] Official implementation of "DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting"
A collection of research papers on Diffusion Models for Weather Forecasting.
Code for "Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models" [TPAMI 2023]
[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".
A comprehesive survey about foundation models for weather and cliamte data understanding.
cycling neuralgcm with real surface pressure obs
[ICML 2025] OneForecast: A Universal Framework for Global and Regional Weather Forecasting
ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs
Diffusion Probabilistic Downscaling Model
Accurate Physics-informed Data-driven Weather Prediction Model
PASSAT is a novel Physics-ASSisted And Topology informed deep learning model for weather prediction.
Source code and config files to reproduce SC submission