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FengYuan Data Assimilation Inference providing efficient inference using ONNX models. This module applies deep learning models to data assimilation tasks, combining background fields and observatio…
Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024
Spec-driven development (SDD) for AI coding assistants.
[CVPR 2025 Oral] Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
The latent data assimilation methods for global atmosphere with the resolution of 1.41 degree.
MultiMAE: Multi-modal Multi-task Masked Autoencoders, ECCV 2022
Python tool for converting files and office documents to Markdown.
[NeurIPS 2025] Native-resolution diffusion Transformer
A modular data assimilation framework supporting both traditional and AI-based variational algorithms (FengWu-4DVar, VAE-Var, LoRA-EnVar), with pluggable interfaces for forecast models, background …
The repository of the WeatherGenerator project
PyTorch implementation of FractalGen https://arxiv.org/abs/2502.17437
A modular framework for evaluating weather forecasts
Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.
Implementation of the Aurora model for Earth system forecasting
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.
Hybrid ML + physics model of the Earth's atmosphere
Large-scale Time-series Dataset Towards Next-Generation Global Station Weather Forecasting Benchmark
Software to work with the TorNet dataset
[ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
Open-source framework for uncertainty and deep learning models in PyTorch 🌱
For calculating global feature importance using Shapley values.
Implementation of the PyTorch version of the Weather Deep Learning Model Zoo.