Alternatives and similar repositories for ClimateNet:

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

• 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
  ☆57Updated last year
• eabarnes1010 / course_ml_ats
  machine learning for the atmospheric sciences - a CSU course
  ☆32Updated last year
• ai2cm / ace
  Ai2 Climate Emulator
  ☆87Updated last month
• NCAR / PostProcessForecasts
  Beta for Pangeo Postprocessing
  ☆16Updated 4 years ago
• NCAR / goes16ci
  GOES-16 Convective Initiation Benchmark
  ☆17Updated 2 years ago
• raspstephan / CBRAIN-CAM
  Code for neural network parameterization project
  ☆74Updated 4 years ago
• NCAR / ai4ess-hackathon-2020
  ☆111Updated 3 years ago
• metno / maelstrom-yr
  A dataset plugin for climetlab for the dataset maelstrom-a1
  ☆12Updated last year
• microsoft / subseasonal_data
  Data access package for the SubseasonalClimateUSA dataset
  ☆29Updated 4 months ago
• annavaughan / convCNPClimate
  Implementation of convolutional conditional neural processes for statistical downscaling
  ☆30Updated 3 years ago
• NCAR / ai4ess-hackathon-2020-notebooks
  ☆14Updated 4 years ago
• Earth-Intelligence-Lab / LocalizedWeatherGNN
  This repository contains the code and data for the paper "Multi-Modal Graph Neural Networks for Localized Off-Grid Weather Forecasting".
  ☆38Updated 4 months ago
• leap-stc / EAEE4000_ML_for_Env_Eng_Sci
  ☆33Updated last year
• EUPP-benchmark / climetlab-eumetnet-postprocessing-benchmark
  A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
  ☆31Updated 5 months ago
• coecms / era5
  Python code to manage ERA5 downloads at NCI
  ☆32Updated 3 years ago
• georgemilosh / Climate-Learning
  How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
  ☆20Updated last month
• raspstephan / nwp-downscale
  ☆40Updated 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…
  ☆90Updated 7 months ago
• spcl / deep-weather
  Deep Learning for Post-Processing Ensemble Weather Forecasts
  ☆92Updated last year
• m2lines / L96_demo
  Lorenz 1996 two time-scale model for learning machine learning
  ☆50Updated last month
• duncanwp / ClimateBench
  ☆89Updated 10 months ago
• zhonghua-zheng / pyEOF
  pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python
  ☆43Updated 3 years ago
• CliDyn / climsight
  prototype of a system that provide local climate information
  ☆35Updated this week
• bgroenks96 / generative-downscaling
  Research and experiments for downscaling climate/weather data via generative learning
  ☆34Updated 2 years ago
• LBL-EESA / TECA
  TECA, theToolkit for Extreme Climate Analysis, contains a collection of climate anlysis algorithms targetted at extreme event detection a…
  ☆59Updated last month
• eabarnes1010 / controlled_abstention_networks
  Neural network loss functions for regression and classification tasks that can say "I don't know".
  ☆13Updated 3 years ago
• RolnickLab / constrained-downscaling
  A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
  ☆82Updated 3 weeks ago
• thunderhoser / GewitterGefahr
  End-to-end machine-learning library for predicting thunderstorm hazards.
  ☆34Updated last month
• slerch / ppnn
  post-processing experiments with neural networks
  ☆61Updated 3 years ago