Alternatives and similar repositories for Prithvi-WxC

Users that are interested in Prithvi-WxC are comparing it to the libraries listed below

• NVIDIA / earth2mip
  Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI mod…
  ☆231Updated 6 months ago
• ai2cm / ace
  Ai2 Climate Emulator
  ☆95Updated 3 months ago
• google-research / weatherbenchX
  A modular framework for evaluating weather forecasts
  ☆93Updated this week
• NVIDIA / earth2studio
  Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
  ☆190Updated this week
• RolnickLab / constrained-downscaling
  A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
  ☆86Updated 3 months ago
• Earth-Intelligence-Lab / LocalizedWeatherGNN
  This repository contains the code and data for the paper "Multi-Modal Graph Neural Networks for Localized Off-Grid Weather Forecasting".
  ☆40Updated last month
• ecmwf-lab / ai-models-fourcastnetv2
  ☆67Updated last year
• paulaharder / deep-downscaling-overview
  A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.
  ☆96Updated 3 months ago
• ecmwf-lab / ai-models-graphcast
  ☆83Updated 8 months ago
• darothen / ai-models-for-all
  Run AI NWP forecasts hassle-free, serverless in the cloud!
  ☆113Updated last year
• mllam / neural-lam
  Research Software for Neural Weather Prediction for Limited Area Modeling
  ☆165Updated 3 months ago
• lizhuoq / WeatherLearn
  Implementation of the PyTorch version of the Weather Deep Learning Model Zoo.
  ☆70Updated last month
• microsoft / subseasonal_toolkit
  Subseasonal forecasting models
  ☆54Updated 4 months ago
• INRIA / geoarches
  A package to train machine learning models on geospatial data, mainly for weather and climate. Used to run ArchesWeather and ArchesWeathe…
  ☆38Updated last week
• carlos-gg / dl4ds
  Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…
  ☆92Updated 10 months ago
• ecmwf-lab / ai-models-fourcastnet
  ☆21Updated last year
• tung-nd / stormer
  ☆60Updated 2 months ago
• gcouairon / ArchesWeather
  ☆43Updated 4 months ago
• ecmwf-lab / ai-models-panguweather
  ☆102Updated 8 months ago
• leap-stc / ClimSim
  An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.
  ☆150Updated 4 months ago
• robbiewatt1 / ClimateDiffuse
  Diffusion for climate downscaling
  ☆62Updated 11 months ago
• duncanwp / ClimateBench
  ☆91Updated last year
• ecmwf-training / mooc-machine-learning-weather-climate
  ☆196Updated 2 months ago
• lucidrains / metnet3-pytorch
  Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch
  ☆216Updated last year
• brightbandtech / ExtremeWeatherBench
  Benchmarking of machine learning and numerical weather prediction (MLWP & NWP) models, with a focus on extreme events.
  ☆53Updated this week
• raspstephan / nwp-downscale
  ☆40Updated 3 years ago
• NVlabs / cBottle
  A generative foundation model for the kilometer-scale atmosphere
  ☆42Updated last week
• davitpapikyan / Probabilistic-Downscaling-of-Climate-Variables
  Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models
  ☆25Updated 3 years ago
• openclimatefix / graph_weather
  PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.0…
  ☆236Updated last week
• kyegomez / metnet3
  An implementation of "metnet3" in Pytorch
  ☆39Updated last month