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ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs
Python package 'dgpsi' for deep and linked Gaussian process emulations
Statistical climate downscaling in Python
Hybrid ML + physics model of the Earth's atmosphere
Run M Files from Python - GNU Octave to Python bridge
Schedule-Free Optimization in PyTorch
Code for the paper: 'Stochastic Latent Transformer: Efficient Modelling of Stochastically Forced Zonal Jets'
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
jasonfleming / jasgs
Forked from StormSurgeLive/asgsThe ADCIRC Surge Guidance System (ASGS) provides software infrastructure for automating ADCIRC for real time or operational deployments, as well as a variety of tools for pre- and post-processing A…
🌍 A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science)
Repo for Taylorformer: Probabilistic Predictions for Time Series and other Processes
Code repository for paper "Rapid Spatio-Temporal Flood Modelling via Hydraulics-Based Graph Neural Networks"
Xarray extension for unstructured climate and global weather data analysis and visualization.
An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.
A LaTeX / XeLaTeX / LuaLaTeX PhD thesis template for Cambridge University Engineering Department (CUED)
Efficiently computes derivatives of NumPy code.
An official implementation of Pangu-Weather
HuMPI is the python code for the Hurricane Maximum Potential Intensity model
Full scripts to generate figures for "Defining Southern Ocean fronts using unsupervised classification" https://doi.org/10.5194/os-17-1545-2021
A benchmark for the next generation of data-driven global weather models.
Latex code for making neural networks diagrams