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…
  ☆244Updated 10 months ago
• google-research / weatherbenchX
  A modular framework for evaluating weather forecasts
  ☆133Updated this week
• NVIDIA / earth2studio
  Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
  ☆270Updated this week
• darothen / ai-models-for-all
  Run AI NWP forecasts hassle-free, serverless in the cloud!
  ☆114Updated last year
• ai2cm / ace
  Ai2 Climate Emulator
  ☆129Updated last week
• leap-stc / ClimSim
  An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.
  ☆157Updated 8 months ago
• Earth-Intelligence-Lab / LocalizedWeather
  This repository contains the code and data for the paper "Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data".
  ☆43Updated last week
• openclimatefix / graph_weather
  Graph-based weather forecasting models. Originally, PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph …
  ☆261Updated last week
• mllam / neural-lam
  Research Software for Neural Weather Prediction for Limited Area Modeling
  ☆179Updated last week
• microsoft / subseasonal_toolkit
  Subseasonal forecasting models
  ☆55Updated 8 months ago
• alan-turing-institute / deepsensor
  A Python package for tackling diverse environmental prediction tasks with NPs.
  ☆116Updated 4 months ago
• NVlabs / cBottle
  A generative foundation model for the kilometer-scale atmosphere
  ☆77Updated this week
• paulaharder / deep-downscaling-overview
  A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.
  ☆100Updated 7 months ago
• ecmwf-lab / ai-models-graphcast
  ☆88Updated last year
• RolnickLab / constrained-downscaling
  A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
  ☆88Updated 7 months ago
• gcouairon / ArchesWeather
  ☆48Updated 9 months ago
• tung-nd / stormer
  ☆65Updated 6 months ago
• NASA-IMPACT / gravity-wave-finetuning
  Finetuning Prithvi WxC - Climate Model Parameterization for Gravity Wave Flux
  ☆22Updated last year
• INRIA / geoarches
  A package to train machine learning models on geospatial data, mainly for weather and climate. Used to run ArchesWeather and ArchesWeathe…
  ☆46Updated last week
• microsoft / WeatherReal-Benchmark
  Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.
  ☆35Updated 6 months ago
• lizhuoq / WeatherLearn
  Implementation of the PyTorch version of the Weather Deep Learning Model Zoo.
  ☆84Updated 5 months ago
• ecmwf-training / mooc-machine-learning-weather-climate
  ☆197Updated 6 months ago
• brightbandtech / ExtremeWeatherBench
  Benchmarking of machine learning and numerical weather prediction (MLWP & NWP) models, with a focus on extreme events.
  ☆70Updated this week
• IBM / granite-wxc
  Repository for IBM weather downscaling model
  ☆42Updated 3 weeks ago
• yongquan-qu / SLAMS
  SLAMS: Score-based Latent Assimilation in Multimodal Setting
  ☆40Updated last year
• ecmwf-lab / ai-models-fourcastnetv2
  ☆68Updated last year
• neuralgcm / dinosaur
  NeuralGCM's differentiable dycore
  ☆299Updated 3 months ago
• lucidrains / metnet3-pytorch
  Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch
  ☆226Updated last year
• duncanwp / ClimateBench
  ☆103Updated last year
• opengeos / earthformer
  A Python package for Earth forecasting transformer
  ☆87Updated last year