Alternatives and similar repositories for ClimSim

Users that are interested in ClimSim are comparing it to the libraries listed below

• google-research / weatherbenchX
  A modular framework for evaluating weather forecasts
  ☆102Updated last week
• mllam / neural-lam
  Research Software for Neural Weather Prediction for Limited Area Modeling
  ☆170Updated this week
• alan-turing-institute / deepsensor
  A Python package for tackling diverse environmental prediction tasks with NPs.
  ☆115Updated 3 weeks ago
• duncanwp / ClimateBench
  ☆91Updated last year
• neuralgcm / dinosaur
  NeuralGCM's differentiable dycore
  ☆280Updated 2 weeks ago
• ai2cm / ace
  Ai2 Climate Emulator
  ☆99Updated 4 months 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…
  ☆240Updated 2 weeks ago
• darothen / ai-models-for-all
  Run AI NWP forecasts hassle-free, serverless in the cloud!
  ☆113Updated last year
• tung-nd / stormer
  ☆62Updated 3 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…
  ☆39Updated last week
• francois-rozet / sda
  Official implementation of Score-based Data Assimilation
  ☆64Updated last year
• ecmwf-lab / ai-models-fourcastnetv2
  ☆67Updated last year
• microsoft / subseasonal_data
  Data access package for the SubseasonalClimateUSA dataset
  ☆32Updated 7 months ago
• gcouairon / ArchesWeather
  ☆43Updated 5 months ago
• NVIDIA / makani
  Massively parallel training of machine-learning based weather and climate models
  ☆252Updated last month
• NVlabs / cBottle
  A generative foundation model for the kilometer-scale atmosphere
  ☆55Updated last week
• Aalto-QuML / ClimODE
  ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs
  ☆97Updated 3 months ago
• NASA-IMPACT / Prithvi-WxC
  Implementation of the Prithvi WxC Foundation Model and Downstream Tasks
  ☆143Updated 3 months ago
• RolnickLab / constrained-downscaling
  A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
  ☆86Updated 4 months ago
• aditya-grover / climate-learn
  Source code for ClimateLearn
  ☆334Updated last year
• NVIDIA / earth2mip
  Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI mod…
  ☆234Updated 6 months ago
• yongquan-qu / SLAMS
  SLAMS: Score-based Latent Assimilation in Multimodal Setting
  ☆38Updated last year
• clessig / atmorep
  AtmoRep model code
  ☆46Updated 3 months ago
• pangeo-data / mldata
  ML Datasets Catalog
  ☆58Updated last year
• modons / DL-weather-dynamics
  ☆20Updated last year
• Rose-STL-Lab / spherical-dyffusion
  [NeurIPS 24] Probablistic Emulation of a Global Climate Model with Spherical DYffusion
  ☆26Updated 3 months ago
• paulaharder / deep-downscaling-overview
  A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.
  ☆96Updated 4 months ago
• leap-stc / ChaosBench
  ☆40Updated 3 months ago
• lizhuoq / WeatherLearn
  Implementation of the PyTorch version of the Weather Deep Learning Model Zoo.
  ☆72Updated 2 months ago
• acse-jm122 / torchda
  Use Deep Learning in Data Assimilation
  ☆45Updated 5 months ago