Alternatives and similar repositories for geogan

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

• eabarnes1010 / controlled_abstention_networks
  Neural network loss functions for regression and classification tasks that can say "I don't know".
  ☆13Updated 3 years ago
• ashesh6810 / DLC_Extreme
  ☆14Updated 6 years ago
• suhasdl / DeepWeather
  Predicting weather by machine learning.
  ☆14Updated 5 years ago
• mscheuerer / NeuralNetworkS2S
  Python code for MWR paper 'Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over Califor…
  ☆13Updated 5 years ago
• tobifinn / torch-assimilate
  Python package based on PyTorch and Dask for efficient and parallelized data assimilation of weather model data and observations on GPUs.
  ☆14Updated 6 months ago
• Ambrosys / climatelearn
  El nino forecast based on a few machine learning methods
  ☆24Updated 8 years ago
• thunderhoser / GewitterGefahr
  End-to-end machine-learning library for predicting thunderstorm hazards.
  ☆34Updated 2 weeks ago
• MeteoSwiss / topo-descriptors
  A python library to extract topographical features from elevation data.
  ☆23Updated last year
• NCAR / ai4ess-hackathon-2020-notebooks
  ☆14Updated 5 years ago
• C2SM / iconarray
  R&D Python package for processing ICON data with xarray
  ☆10Updated 2 years ago
• Climdyn / pythie
  Pythie is a Python package to postprocess weather forecasts. Presently, it contains the modules: MBM: a module to make member-by-member e…
  ☆11Updated 2 years ago
• NCAR / goes16ci
  GOES-16 Convective Initiation Benchmark
  ☆17Updated 3 years ago
• jleinonen / cloudsat-gan
  Reconstruction of Cloud Vertical Structure with a Generative Adversarial Network
  ☆25Updated 6 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
• pangeo-data / mldata
  ML Datasets Catalog
  ☆58Updated 2 years ago
• bgroenks96 / generative-downscaling
  Research and experiments for downscaling climate/weather data via generative learning
  ☆34Updated 3 years ago
• eabarnes1010 / course_ml_ats
  machine learning for the atmospheric sciences - a CSU course
  ☆32Updated last year
• crim-ca / crims2s
  ☆14Updated 3 years ago
• EUPP-benchmark / climetlab-eumetnet-postprocessing-benchmark
  A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
  ☆31Updated 3 weeks ago
• NCAR / PostProcessForecasts
  Beta for Pangeo Postprocessing
  ☆17Updated 5 years ago
• coecms / era5
  Python code to manage ERA5 downloads at NCI
  ☆33Updated 4 years ago
• raspstephan / nwp-downscale
  ☆40Updated 3 years ago
• openclimatefix / predict_pv_yield
  Using optical flow & machine learning to predict PV yield
  ☆53Updated 2 years ago
• tjvandal / bcsd-python
  Tool using python and cdo to apply daily climate downscaling with BCSD.
  ☆35Updated 3 years ago
• scotthosking / baspy
  Making it far easier to read in and work with large volumes of climate model output from CMIP5/6
  ☆21Updated 4 years ago
• jleinonen / downscaling-rnn-gan
  Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields
  ☆72Updated 4 years ago
• TUW-GEO / ecmwf_models
  Python package for downloading ECMWF reanalysis data and converting it into a time series format.
  ☆41Updated 2 weeks ago
• ERA-URBAN / wrfpy
  ☆13Updated 4 years ago
• saneku / Merra2BC
  Create boundary and initial conditions for WRF-Chem simulation
  ☆14Updated 8 months ago
• nram812 / A-Robust-Generative-Adversarial-Network-Approach-for-Climate-Downscaling
  Code for paper "A Robust Generative Adversarial Network Approach for Climate Downscaling"
  ☆11Updated 11 months ago