Datasets for Machine Learning weather forecasting models

Standalone TFRecord reader/writer with PyTorch data loaders

A playbook for systematically maximizing the performance of deep learning models.

ECMWF atmospheric radiation scheme with AI weak coupling

A collection of resources and papers on Diffusion Models

Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

Tutorials and demonstration materials for the mantik platform

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Code for the paper "Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization"

Graph-based weather forecasting models. Originally, PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)

This project contains a collection of deep learning models developed by the AI4Sim team with various partners. This is structured on the basis of use-cases providing canonical PyTorch Lightning pip…

Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding

Play atmospheric modelling like it's LEGO.

Pytorch implementation of PatternNet.

A game theoretic approach to explain the output of any machine learning model.

ECMWF atmospheric radiation scheme

Spherical CNNs

Keras implementations of Generative Adversarial Networks.

Deep Learning for Post-Processing Ensemble Weather Forecasts

Learning in infinite dimension with neural operators.

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

Call python from fortran

Code for neural network parameterization project