Alternatives and similar repositories for public-downscaling-cgan

Users that are interested in public-downscaling-cgan are comparing it to the libraries listed below

• raspstephan / nwp-downscale
  ☆40Updated 3 years ago
• ecmwf-lab / climetlab-s2s-ai-challenge
  climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
  ☆36Updated last year
• yingkaisha / JAMC_20_0057
  (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".
  ☆18Updated 4 years ago
• paulaharder / deep-downscaling-overview
  A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.
  ☆98Updated 5 months ago
• jleinonen / downscaling-rnn-gan
  Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields
  ☆72Updated 4 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…
  ☆93Updated last year
• OpheliaMiralles / wind-downscaling-gan
  ☆34Updated 2 years ago
• SantanderMetGroup / DeepDownscaling
  Deep learning approaches for statistical downscaling in climate
  ☆72Updated 3 years ago
• anna-allen / convCNPClimate
  Implementation of convolutional conditional neural processes for statistical downscaling
  ☆33Updated 4 years ago
• RolnickLab / constrained-downscaling
  A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
  ☆87Updated 5 months ago
• robbiewatt1 / ClimateDiffuse
  Diffusion for climate downscaling
  ☆66Updated last year
• slerch / ppnn
  post-processing experiments with neural networks
  ☆62Updated 3 years ago
• tjvandal / deepsd
  DeepSD Super-resolution for Climate Downscaling in KDD 2017
  ☆93Updated 3 years ago
• lzhengchun / DSGAN
  a GAN for precipitation downscaling
  ☆41Updated 3 years ago
• spcl / deep-weather
  Deep Learning for Post-Processing Ensemble Weather Forecasts
  ☆93Updated 2 years ago
• thunderhoser / ml4convection
  Uses machine learning to predict convective initiation and decay from satellite data.
  ☆24Updated 2 years ago
• tpys / FuXi-S2S
  ☆31Updated last month
• EUPP-benchmark / climetlab-eumetnet-postprocessing-benchmark
  A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
  ☆31Updated 9 months ago
• uba / tathu
  TATHU is a Python package for tracking and analyzing the life cycle of convective systems.
  ☆32Updated last month
• ECMWFCode4Earth / DeepR
  DeepR: Deep Reanalysis
  ☆26Updated last year
• lmadaus / pyWRFDART
  A collection of Python scripts for running WRF with the DART data assimilation system
  ☆31Updated 2 years ago
• panbaoxiang / RADA
  Regularized Adversarial Domain Adaptation -- data-driven correction of climate model biases
  ☆11Updated 2 years ago
• ecmwf / anemoi-inference
  ☆28Updated this week
• ecmwf-lab / ml-training-course
  ☆19Updated last year
• 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…
  ☆86Updated 6 months ago
• Dan-Boat / PyESD
  Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of…
  ☆54Updated 6 months ago
• ZiluM / sacpy
  A Python Package for Statistical Analysis of Climate
  ☆62Updated 11 months ago
• tjvandal / bcsd-python
  Tool using python and cdo to apply daily climate downscaling with BCSD.
  ☆34Updated 3 years ago
• fmerizzi / ERA5-to-CERRA-via-Diffusion-Models
  Wind speed downscaling via Diffusion Models, from ERA5 to CERRA in the mediterranean region
  ☆24Updated last year
• AugChiang / Climate-downscaling
  Deep-learning Based Climate Downscaling of Precipitation Data
  ☆14Updated 7 months ago