Alternatives and similar repositories for climetlab-s2s-ai-challenge

Users that are interested in climetlab-s2s-ai-challenge are comparing it to the libraries listed below

• spcl / deep-weather
  Deep Learning for Post-Processing Ensemble Weather Forecasts
  ☆93Updated 2 years ago
• raspstephan / nwp-downscale
  ☆40Updated 3 years ago
• ljharris23 / public-downscaling-cgan
  Clean, easier to use version of the downscaling cGAN
  ☆23Updated last year
• carlos-gg / dl4ds
  Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…
  ☆93Updated 11 months ago
• slerch / ppnn
  post-processing experiments with neural networks
  ☆62Updated 3 years ago
• NCAR / goes16ci
  GOES-16 Convective Initiation Benchmark
  ☆17Updated 3 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
• NCAR / PostProcessForecasts
  Beta for Pangeo Postprocessing
  ☆17Updated 4 years ago
• andregraubner / ClimateNet
  Climate Analytics using Deep Neural Networks in Python.
  ☆62Updated last year
• robbiewatt1 / ClimateDiffuse
  Diffusion for climate downscaling
  ☆64Updated last year
• RolnickLab / constrained-downscaling
  A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
  ☆86Updated 4 months ago
• eabarnes1010 / course_ml_ats
  machine learning for the atmospheric sciences - a CSU course
  ☆32Updated last year
• EUPP-benchmark / climetlab-eumetnet-postprocessing-benchmark
  A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
  ☆31Updated 8 months ago
• coecms / era5
  Python code to manage ERA5 downloads at NCI
  ☆33Updated 4 years ago
• 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…
  ☆84Updated 5 months ago
• shenyulu / easyclimate
  A line of code to analyze climate
  ☆41Updated 3 weeks ago
• SantanderMetGroup / DeepDownscaling
  Deep learning approaches for statistical downscaling in climate
  ☆72Updated 3 years ago
• microsoft / WeatherReal-Benchmark
  Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.
  ☆30Updated 3 months ago
• ZiluM / sacpy
  A Python Package for Statistical Analysis of Climate
  ☆62Updated 11 months ago
• suhasdl / DeepWeather
  Predicting weather by machine learning.
  ☆14Updated 5 years ago
• eabarnes1010 / controlled_abstention_networks
  Neural network loss functions for regression and classification tasks that can say "I don't know".
  ☆13Updated 3 years ago
• ecmwf / anemoi-inference
  ☆28Updated this week
• thunderhoser / cira_uq4ml
  Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere
  ☆16Updated 2 years ago
• wavestoweather / enstools
  Python library for processing ensemble weather forecasts
  ☆23Updated last month
• paulaharder / deep-downscaling-overview
  A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.
  ☆98Updated 4 months ago
• NCAR / ai4ess-hackathon-2020
  ☆111Updated 4 years ago
• wy2136 / TCI
  Calculate tropical cyclone related indices like GPI, VI, etc.
  ☆17Updated 3 years ago
• yingkaisha / JAMC_20_0057
  (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".
  ☆18Updated 4 years ago
• cghoffmann / mjoindices
  This repository provides a Python implementation of the calculation algorithm for the OLR-based MJO index (OMI).
  ☆39Updated 2 years ago
• lkugler / RTTOV-WRF
  Simulate SEVIRI satellite channels from WRF output
  ☆23Updated 6 months ago