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Latex code for making neural networks diagrams
A benchmark for the next generation of data-driven global weather models.
Repo for Taylorformer: Probabilistic Predictions for Time Series and other Processes
Public repository for article "Multivariate emulation of convective-scale numerical weather predictions with generative adversarial networks: a proof-of-concept"
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
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.
Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO
Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistical downscaling of gridded data
Official implementation of Earthformer
python package for analyzing general circulation model output data
Fast, flexible, label-aware histograms for numpy and xarray
Frequency Domain Perceptual Loss for Super Resolution
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
An Open Source Machine Learning Framework for Everyone
An official implementation of Pangu-Weather
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
A Bayesian optimization toolbox built on TensorFlow
The official repository for the Weather Research and Forecasting (WRF) model
The icenet library is a pip installable python package containing the commands and code you need to produce forecasts
Code associated with the paper 'Seasonal Arctic sea ice forecasting with probabilistic deep learning'
(Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".