Alternatives and similar repositories for ClimSim

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

• mllam / neural-lam
  Research Software for Neural Weather Prediction for Limited Area Modeling
  ☆160Updated 2 months ago
• alan-turing-institute / deepsensor
  A Python package for tackling diverse environmental prediction tasks with NPs.
  ☆111Updated 2 weeks ago
• neuralgcm / dinosaur
  NeuralGCM's differentiable dycore
  ☆269Updated 2 weeks ago
• ai2cm / ace
  Ai2 Climate Emulator
  ☆92Updated 3 months ago
• google-research / weatherbenchX
  A modular framework for evaluating weather forecasts
  ☆90Updated this week
• INRIA / geoarches
  A package to train machine learning models on geospatial data, mainly for weather and climate. Used to run ArchesWeather and ArchesWeathe…
  ☆34Updated 2 weeks ago
• darothen / ai-models-for-all
  Run AI NWP forecasts hassle-free, serverless in the cloud!
  ☆113Updated last year
• gcouairon / ArchesWeather
  ☆41Updated 4 months ago
• tung-nd / stormer
  ☆58Updated last month
• duncanwp / ClimateBench
  ☆90Updated last year
• openclimatefix / graph_weather
  PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.0…
  ☆235Updated last week
• ecmwf-lab / ai-models-fourcastnetv2
  ☆65Updated last year
• NVIDIA / modulus-makani
  Massively parallel training of machine-learning based weather and climate models
  ☆248Updated 4 months ago
• Rose-STL-Lab / spherical-dyffusion
  [NeurIPS 24] Probablistic Emulation of a Global Climate Model with Spherical DYffusion
  ☆26Updated 2 months ago
• NASA-IMPACT / Prithvi-WxC
  Implementation of the Prithvi WxC Foundation Model and Downstream Tasks
  ☆142Updated last month
• RolnickLab / constrained-downscaling
  A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
  ☆85Updated 2 months ago
• microsoft / subseasonal_data
  Data access package for the SubseasonalClimateUSA dataset
  ☆30Updated 6 months ago
• aditya-grover / climate-learn
  Source code for ClimateLearn
  ☆333Updated last year
• clessig / atmorep
  AtmoRep model code
  ☆46Updated 2 months ago
• blutjens / awesome-MIT-ai-for-climate-change
  🌍 A curated list of MIT faculty that tackle climate change with machine learning for applying students, undergraduates, or others
  ☆47Updated 2 months ago
• microsoft / aurora
  Implementation of the Aurora model for Earth system forecasting
  ☆340Updated this week
• microsoft / subseasonal_toolkit
  Subseasonal forecasting models
  ☆53Updated 3 months ago
• francois-rozet / sda
  Official implementation of Score-based Data Assimilation
  ☆60Updated last year
• paulaharder / deep-downscaling-overview
  A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.
  ☆97Updated 2 months ago
• rebase-energy / awesome-weather-models
  🌦️ A catalogue and categorization of AI-based weather forecasting models.
  ☆131Updated 7 months ago
• pangeo-data / mldata
  ML Datasets Catalog
  ☆57Updated last year
• brightbandtech / nnja-ai
  Find and load data from the Brightband AI-ready mirror of the NOAA NASA Joint Archive (NNJA) of Observations for Earth System Reanalysis
  ☆46Updated 2 months ago
• NVIDIA / earth2mip
  Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI mod…
  ☆229Updated 5 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".
  ☆39Updated last week
• iarai / weather4cast-2022
  Starter Kit for the NeurIPS 2022 Weather4cast competition
  ☆54Updated 2 years ago