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University of Cambridge @ai4er-cdt / British Antarctic Survey @antarctica
- Cambridge, UK
- https://sdat2.github.io/
- @SimonDAThomas
- in/sdat2
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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)
🌍 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
Using an ensemble of Gaussian Mixture Models (GMMs) with altimetry data to find the regions of similar interannual to decadal sea level variability in the seas of northwestern Europe.