Alternatives and similar repositories for DLC_Extreme

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

• mscheuerer / NeuralNetworkS2S
  Python code for MWR paper 'Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over Califor…
  ☆13Updated 5 years ago
• spcl / deep-weather
  Deep Learning for Post-Processing Ensemble Weather Forecasts
  ☆92Updated 2 years ago
• jleinonen / geogan
  Style-based GAN for geophysical fields
  ☆13Updated 5 years ago
• raspstephan / nwp-downscale
  ☆40Updated 3 years ago
• NCAR / goes16ci
  GOES-16 Convective Initiation Benchmark
  ☆18Updated 3 years ago
• crim-ca / crims2s
  ☆14Updated 3 years ago
• thunderhoser / GewitterGefahr
  End-to-end machine-learning library for predicting thunderstorm hazards.
  ☆35Updated last month
• ecmwf-lab / climetlab-s2s-ai-challenge
  climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
  ☆36Updated 2 years ago
• metno / maelstrom-yr
  A dataset plugin for climetlab for the dataset maelstrom-a1
  ☆12Updated last year
• Ambrosys / climatelearn
  El nino forecast based on a few machine learning methods
  ☆24Updated 9 years ago
• TUW-GEO / ecmwf_models
  Python package for downloading ECMWF reanalysis data and converting it into a time series format.
  ☆42Updated this week
• eabarnes1010 / controlled_abstention_networks
  Neural network loss functions for regression and classification tasks that can say "I don't know".
  ☆13Updated 3 years ago
• matteodefelice / C3S_evaluator
  A simple way to evaluate Copernicus Climate Change (C3S) seasonal forecasts monthly data
  ☆13Updated 3 years ago
• SantanderMetGroup / DeepDownscaling
  Deep learning approaches for statistical downscaling in climate
  ☆71Updated 3 years ago
• tjvandal / bcsd-python
  Tool using python and cdo to apply daily climate downscaling with BCSD.
  ☆37Updated 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…
  ☆95Updated last year
• suhasdl / DeepWeather
  Predicting weather by machine learning.
  ☆14Updated 5 years ago
• NCAR / PostProcessForecasts
  Beta for Pangeo Postprocessing
  ☆17Updated 5 years ago
• NicWayand / ESIO
  Extended Sea Ice Outlook
  ☆11Updated 6 years ago
• djgagne / swirlnet
  Deep learning tutorial for predicting low-level rotation.
  ☆18Updated 7 years ago
• zxdawn / Marked-Tutorials
  Some useful and excellent tutorials
  ☆17Updated 6 years ago
• jleinonen / downscaling-rnn-gan
  Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields
  ☆73Updated 4 years ago
• coecms / era5
  Python code to manage ERA5 downloads at NCI
  ☆33Updated 4 years ago
• NCAR / gdex-api-client
  GDEX apps clients. Subdirectories will be organized by language, e.g. python, perl, c++, bash
  ☆38Updated this week
• eabarnes1010 / course_ml_ats
  machine learning for the atmospheric sciences - a CSU course
  ☆34Updated last year
• NCAR / ai4ess-hackathon-2020-notebooks
  ☆14Updated 5 years ago
• iroreilly / ams-2020-ml-python-course
  Materials for the Machine Learning in Python for Environmental Science Problems AMS 2020 Short Course
  ☆29Updated 5 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
• djgagne / deepsky
  Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms
  ☆22Updated 4 years ago
• pangeo-data / mldata
  ML Datasets Catalog
  ☆58Updated 2 years ago