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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.
Neighborhood Attention Extension. Bringing attention to a neighborhood near you!
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.
A benchmark for the next generation of data-driven global weather models.
Generative Models by Stability AI
Run AI NWP forecasts hassle-free, serverless in the cloud!
Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI models for weather and climate.
Massively parallel training of machine-learning based weather and climate models
🎨 A succinct matplotlib wrapper for making beautiful, publication-quality graphics
Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.
Understanding Deep Learning - Simon J.D. Prince
Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Research Software for Neural Weather Prediction for Limited Area Modeling
An Online Deep Learning Interface for HPC programs on NVIDIA GPUs
Encoding physics to learn reaction-diffusion processes