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Python code to support and participate in ECMWF-hosted AI Weather Quest
🌍 A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science)
[NeurIPS'24] Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
[ICML 2025] OneForecast: A Universal Framework for Global and Regional Weather Forecasting
handama / FA2sp
Forked from secsome/FA2spC&C Red Alert 2: Yuri's Revenge Map Editor : Final Alert 2 extension
A collection of research papers on Diffusion Models for Weather Forecasting.
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
Implementation of the PyTorch version of the Weather Deep Learning Model Zoo.
Initial public release of code, data, and model weights for FourCastNet
Simple R package for ETCCDI/CRD climate change indices calculations
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Validation of the Pangu Weather Forecasting Model against Real-World Meteorological Observations
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs. This work has been accepted by KDD 2024.
👾 Open source implementation of the ChatGPT Code Interpreter
盘古天气大模型全流程演示（ 输入数据准备、预测及结果可视化）Unofficial demonstration of Huawei's Pangu Weather Model. Implementing the entire process of data preparation for input, forecasting conversion of forecasted results, …
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, 2023. https://www.nature.com/articles/s42256-023-00667-9