Alternatives and similar repositories for diffusion-models-for-weather-prediction

Users that are interested in diffusion-models-for-weather-prediction are comparing it to the libraries listed below

• robbiewatt1 / ClimateDiffuse
  Diffusion for climate downscaling
  ☆77Updated last year
• yongquan-qu / SLAMS
  SLAMS: Score-based Latent Assimilation in Multimodal Setting
  ☆42Updated last year
• p-hss / consistency-climate-downscaling
  ☆35Updated 3 months ago
• anna-allen / convCNPClimate
  Implementation of convolutional conditional neural processes for statistical downscaling
  ☆33Updated 4 years ago
• paulaharder / deep-downscaling-overview
  A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.
  ☆105Updated 10 months ago
• ecmwf-lab / climetlab-s2s-ai-challenge
  climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
  ☆36Updated 2 years ago
• raspstephan / nwp-downscale
  ☆40Updated 4 years ago
• jeonghwan723 / A_CNN
  CNN based ENSO all season forecast model
  ☆20Updated last year
• lizhuoq / WeatherLearn
  Implementation of the PyTorch version of the Weather Deep Learning Model Zoo.
  ☆90Updated 8 months ago
• spcl / ens10
  Scripts and examples for the ENS-10 Ensemble Prediction System machine learning dataset
  ☆29Updated 3 years ago
• jleinonen / downscaling-rnn-gan
  Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields
  ☆73Updated 4 years ago
• INRIA / geoarches
  A package to train machine learning models on geospatial data, mainly for weather and climate. Used to run ArchesWeather and ArchesWeathe…
  ☆51Updated 2 weeks ago
• NVlabs / cBottle
  A generative foundation model for the kilometer-scale atmosphere
  ☆88Updated last week
• Gufrannn / W-MAE
  ☆30Updated last year
• kyegomez / metnet3
  An implementation of "metnet3" in Pytorch
  ☆37Updated 2 months ago
• AtmosSci-DLESM / DLESyM
  Software for training, running and analyzing a Deep Learning Earth System Model (DLESyM)
  ☆23Updated last month
• microsoft / WeatherReal-Benchmark
  Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.
  ☆40Updated 8 months ago
• RolnickLab / constrained-downscaling
  A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
  ☆94Updated 10 months ago
• henryaddison / mlde
  Adaptation of PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations for emulating high res…
  ☆19Updated last week
• ljharris23 / public-downscaling-cgan
  Clean, easier to use version of the downscaling cGAN
  ☆25Updated last year
• OpheliaMiralles / wind-downscaling-gan
  ☆35Updated 2 years ago
• spcl / deep-weather
  Deep Learning for Post-Processing Ensemble Weather Forecasts
  ☆92Updated 2 years ago
• thunderhoser / cira_uq4ml
  Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere
  ☆19Updated 3 years ago
• slerch / ppnn
  post-processing experiments with neural networks
  ☆63Updated 4 years ago
• hyungting / DGMR-pytorch
  An implementation of Deep Generative Model of Radars from DeepMind in PyTorch
  ☆45Updated 3 years ago
• deepsphere / deepsphere-weather
  A spherical CNN for weather forecasting
  ☆73Updated 3 years ago
• fmerizzi / ERA5-to-CERRA-via-Diffusion-Models
  Wind speed downscaling via Diffusion Models, from ERA5 to CERRA in the mediterranean region
  ☆27Updated last year
• leap-stc / ChaosBench
  ☆47Updated 9 months ago
• davitpapikyan / Probabilistic-Downscaling-of-Climate-Variables
  Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models
  ☆27Updated 3 years ago
• nci / FourCastNeXt
  ☆19Updated 9 months ago