Alternatives and similar repositories for geogan

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

• ashesh6810 / DLC_Extreme
  ☆14Updated 6 years ago
• pankajkarman / HyTraj
  Implementation of HySPLIT based trajectory modeling and analysis in python.
  ☆7Updated 9 months ago
• eabarnes1010 / controlled_abstention_networks
  Neural network loss functions for regression and classification tasks that can say "I don't know".
  ☆12Updated 3 years ago
• MeteoSwiss / topo-descriptors
  A python library to extract topographical features from elevation data.
  ☆21Updated last year
• eabarnes1010 / course_ml_ats
  machine learning for the atmospheric sciences - a CSU course
  ☆32Updated last year
• NCAR / goes16ci
  GOES-16 Convective Initiation Benchmark
  ☆17Updated 2 years ago
• ashesh6810 / machine_learning_for_climate
  A set of pre-processing codes, A deep convolutional neural net and post-processing codes for classifying turbulent climate patterns
  ☆12Updated 6 years ago
• mscheuerer / NeuralNetworkS2S
  Python code for MWR paper 'Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over Califor…
  ☆13Updated 4 years ago
• NCAR / ai4ess-hackathon-2020-notebooks
  ☆14Updated 4 years ago
• crim-ca / crims2s
  ☆13Updated 3 years ago
• OpheliaMiralles / wind-downscaling-gan
  ☆33Updated 2 years ago
• nbren12 / uwnet
  Neural Networks based unified physics parameterization for atmospheric models
  ☆4Updated 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
• 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
• tobifinn / torch-assimilate
  Python package based on PyTorch and Dask for efficient and parallelized data assimilation of weather model data and observations on GPUs.
  ☆12Updated 2 months ago
• ERA-URBAN / wrfpy
  ☆12Updated 4 years ago
• paulaharder / constrained-downscaling
  A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
  ☆13Updated last year
• ECMWFCode4Earth / aq-biascorrection
  Bias correction of air quality CAMS model predictions by using OpenAQ observations.
  ☆11Updated 3 years ago
• suhasdl / DeepWeather
  Predicting weather by machine learning.
  ☆14Updated 4 years ago
• bgroenks96 / generative-downscaling
  Research and experiments for downscaling climate/weather data via generative learning
  ☆34Updated 3 years ago
• matteodefelice / C3S_evaluator
  A simple way to evaluate Copernicus Climate Change (C3S) seasonal forecasts monthly data
  ☆13Updated 3 years ago
• raspstephan / nwp-downscale
  ☆40Updated 3 years ago
• yingkaisha / JAMC_20_0057
  (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".
  ☆17Updated 3 years ago
• microsoft / WeatherReal-Benchmark
  Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.
  ☆24Updated last month
• davidmnielsen / mygrads
  A set of GrADS functions in Python (hdivg, hcurl...)
  ☆11Updated 3 years ago
• jleinonen / cloudsat-gan
  Reconstruction of Cloud Vertical Structure with a Generative Adversarial Network
  ☆25Updated 5 years ago
• pjpetersik / ninolearn
  NinoLearn is a research framework for statistical ENSO prediction.
  ☆10Updated 4 years ago
• jleinonen / downscaling-rnn-gan
  Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields
  ☆70Updated 3 years ago
• tbeucler / CBRAIN-CAM
  Code for neural network parameterization project
  ☆18Updated last year
• FrontierDevelopmentLab / CUMULO
  a benchmark dataset for training and evaluating global cloud classification models.
  ☆29Updated last year