Alternatives and similar repositories for deepsphere-weather:

Users that are interested in deepsphere-weather are comparing it to the libraries listed below

• ecmwf-lab / ai-models-fourcastnet
  ☆21Updated last year
• ecmwf-lab / climetlab-s2s-ai-challenge
  climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
  ☆36Updated last year
• microsoft / subseasonal_toolkit
  Subseasonal forecasting models
  ☆52Updated 2 months ago
• raspstephan / nwp-downscale
  ☆40Updated 3 years ago
• microsoft / WeatherReal-Benchmark
  Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.
  ☆22Updated 2 weeks ago
• raspstephan / CBRAIN-CAM
  Code for neural network parameterization project
  ☆74Updated 4 years ago
• yongquan-qu / SLAMS
  SLAMS: Score-based Latent Assimilation in Multimodal Setting
  ☆37Updated 10 months ago
• EUPP-benchmark / climetlab-eumetnet-postprocessing-benchmark
  A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
  ☆31Updated 6 months ago
• spcl / deep-weather
  Deep Learning for Post-Processing Ensemble Weather Forecasts
  ☆93Updated 2 years ago
• annavaughan / convCNPClimate
  Implementation of convolutional conditional neural processes for statistical downscaling
  ☆32Updated 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…
  ☆33Updated 2 weeks ago
• openclimatefix / satflow
  Satellite Optical Flow with machine learning models
  ☆60Updated last year
• ECMWFCode4Earth / diffusion-models-for-weather-prediction
  ☆24Updated last year
• jeonghwan723 / A_CNN
  CNN based ENSO all season forecast model
  ☆18Updated 8 months ago
• iarai / weather4cast
  Code accompanying our IARAI Weather4cast Challenge
  ☆47Updated 3 years ago
• google-research / weatherbenchX
  A modular framework for evaluating weather forecasts
  ☆85Updated last week
• kyegomez / metnet3
  An implementation of "metnet3" in Pytorch
  ☆39Updated last week
• MIT-AI-Accelerator / eie-sevir
  Code for working with the SEVIR weather dataset
  ☆31Updated 2 years ago
• RolnickLab / constrained-downscaling
  A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
  ☆84Updated last month
• openclimatefix / diffusion_weather
  Testing out Diffusion-based models for weather and PV forecasting
  ☆14Updated 2 weeks 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 4 months ago
• jleinonen / downscaling-rnn-gan
  Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields
  ☆67Updated 3 years ago
• carlos-gg / dl4ds
  Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…
  ☆91Updated 8 months ago
• ecmwf / anemoi-inference
  ☆26Updated this week
• ai2cm / ace
  Ai2 Climate Emulator
  ☆88Updated 2 months ago
• tbeucler / CBRAIN-CAM
  Code for neural network parameterization project
  ☆18Updated last year
• andregraubner / ClimateNet
  Climate Analytics using Deep Neural Networks in Python.
  ☆62Updated last year
• OpheliaMiralles / wind-downscaling-gan
  ☆31Updated 2 years ago
• tcapelle / metnet_pytorch
  A MetNet implementation in Pytorch and fastai
  ☆32Updated 3 years ago
• TomBolton / DeepEddy
  Python code for "Applications of Deep Learning to Ocean Data Inference and Sub-Grid Parameterisation" (https://doi.org/10.1029/2018MS0014…
  ☆48Updated 6 years ago