Alternatives and similar repositories for graphcast-predict:

Users that are interested in graphcast-predict are comparing it to the libraries listed below

• ecmwf-lab / ai-models-graphcast
  ☆71Updated 4 months ago
• ecmwf-lab / ai-models-panguweather
  ☆93Updated 4 months ago
• ecmwf-lab / ai-models-fourcastnet
  ☆21Updated last year
• raspstephan / nwp-downscale
  ☆40Updated 3 years ago
• FREVA-CLINT / climatereconstructionAI
  Software to train/evaluate models to reconstruct missing values in climate data (e.g., HadCRUT4) based on a U-Net with partial convolutio…
  ☆81Updated last week
• ECMWFCode4Earth / DeepR
  DeepR: Deep Reanalysis
  ☆24Updated last year
• microsoft / subseasonal_toolkit
  Subseasonal forecasting models
  ☆47Updated last week
• robbiewatt1 / ClimateDiffuse
  Diffusion for climate downscaling
  ☆49Updated 7 months ago
• OpheliaMiralles / wind-downscaling-gan
  ☆30Updated 2 years ago
• taohan10200 / CRA5
  A large compression model for weather and climate data, which compresses a 400+ TB ERA5 dataset into a new 0.8 TB CRA5 dataset.
  ☆39Updated 3 months ago
• microsoft / subseasonal_data
  Data access package for the SubseasonalClimateUSA dataset
  ☆29Updated 3 months ago
• SantanderMetGroup / DeepDownscaling
  Deep learning approaches for statistical downscaling in climate
  ☆71Updated 2 years ago
• sfsun67 / GraphCast-from-Ground-Zero
  [2023]Run GraphCast in one click. The code will automatically install and run the model environment, automatically inferencing and demons…
  ☆23Updated 10 months ago
• openclimatefix / diffusion_weather
  Testing out Diffusion-based models for weather and PV forecasting
  ☆13Updated last week
• kitamoto-lab / digital-typhoon
  Digital Typhoon Dataset
  ☆27Updated 2 months ago
• tpys / FuXi-S2S
  ☆21Updated 8 months ago
• spcl / deep-weather
  Deep Learning for Post-Processing Ensemble Weather Forecasts
  ☆91Updated last year
• slerch / ppnn
  post-processing experiments with neural networks
  ☆61Updated 3 years ago
• henryaddison / mlde
  Adaptation of PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations for emulating high res…
  ☆11Updated last month
• carlos-gg / dl4ds
  Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…
  ☆87Updated 6 months ago
• ecmwf-lab / ml-training-course
  ☆18Updated 10 months ago
• spcl / ens10
  Scripts and examples for the ENS-10 Ensemble Prediction System machine learning dataset
  ☆29Updated 2 years ago
• leap-stc / ChaosBench
  ☆28Updated last month
• ZiluM / Deep-learning-for-multi-year-ENSO-Reproduction
  Deep learning for multi-year ENSO forecasts Reproduction
  ☆49Updated 6 months ago
• tyui592 / awesome-precipitation-nowcasting
  A list of Precipitation Nowcasting papers and related resources.
  ☆141Updated 2 months ago
• dscheepens / Deep-RNN-for-extreme-wind-speed-prediction
  Paper code for "Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extre…
  ☆14Updated 6 months ago
• openclimatefix / PVNet
  PVnet main repo
  ☆22Updated this week
• jleinonen / downscaling-rnn-gan
  Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields
  ☆66Updated 3 years ago
• taohan10200 / WEATHER-5K
  Large-scale Time-series Dataset Towards Next-Generation Global Station Weather Forecasting Benchmark
  ☆55Updated 4 months ago
• yungyun0721 / AI_global_forecast_model_for_education
  with Pangu-weather, FourCastNet v1 v2, GraphCast, and Aurora model
  ☆21Updated last month