wwtung's Stars
openclimatefix/graph_weather
PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)
rishabh135/FourCastNet_gil
Mechanistic Interpretability for Weather Modeing using Vision Transformers
Rdatatable/data.table
R's data.table package extends data.frame:
maziarraissi/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
LLNL/magpie
Magpie contains a number of scripts for running Big Data software in HPC environments, including Hadoop and Spark. There is support for Lustre, Slurm, Moab, Torque. LSF, Flux, and more.
NVIDIA/earth2mip
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.
NVIDIA/modulus-makani
Massively parallel training of machine-learning based weather and climate models
steveazzolin/gdl_tutorial_turinginst
Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute
rishabh135/FourCastNet
Initial public release of code, data, and model weights for FourCastNet
NVlabs/FourCastNet
Initial public release of code, data, and model weights for FourCastNet
rmcelreath/stat_rethinking_2023
Statistical Rethinking Course for Jan-Mar 2023
mlverse/torch
R Interface to Torch
macmillancontentscience/torchtransformers
NASA-Openscapes/2021-Cloud-Hackathon
2021 NASA Cloud Hackathon co-hosted by PODAAC, NSIDC and LPDAAC, with support provided by ASDC, GESDISC, IMPACT and NASA Openscapes.
jthomasmock/quarto-reporting
Example content for Reporting and Presentation webinar