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 2 years ago
• raspstephan / CBRAIN-CAM
  Code for neural network parameterization project
  ☆75Updated 5 years ago
• pangeo-data / mldata
  ML Datasets Catalog
  ☆58Updated 2 years ago
• spcl / deep-weather
  Deep Learning for Post-Processing Ensemble Weather Forecasts
  ☆92Updated 2 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…
  ☆94Updated last year
• RolnickLab / constrained-downscaling
  A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
  ☆87Updated 6 months ago
• ai2cm / ace
  Ai2 Climate Emulator
  ☆120Updated last week
• duncanwp / ClimateBench
  ☆97Updated last year
• paulaharder / deep-downscaling-overview
  A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.
  ☆100Updated 6 months ago
• NCAR / PostProcessForecasts
  Beta for Pangeo Postprocessing
  ☆17Updated 5 years ago
• LBL-EESA / TECA
  TECA, theToolkit for Extreme Climate Analysis, contains a collection of climate anlysis algorithms targetted at extreme event detection a…
  ☆61Updated last month
• NCAR / ai4ess-hackathon-2020-notebooks
  ☆14Updated 5 years ago
• EUPP-benchmark / climetlab-eumetnet-postprocessing-benchmark
  A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
  ☆31Updated this week
• Earth-Intelligence-Lab / LocalizedWeather
  This repository contains the code and data for the paper "Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data".
  ☆43Updated 3 weeks ago
• NVlabs / cBottle
  A generative foundation model for the kilometer-scale atmosphere
  ☆72Updated last month
• slerch / ppnn
  post-processing experiments with neural networks
  ☆63Updated 3 years ago
• AtmosSci-DLESM / DLESyM
  Software for training, running and analyzing a Deep Learning Earth System Model (DLESyM)
  ☆21Updated 2 months ago
• raspstephan / nwp-downscale
  ☆40Updated 3 years ago
• darothen / ai-models-for-all
  Run AI NWP forecasts hassle-free, serverless in the cloud!
  ☆114Updated last year
• bgroenks96 / generative-downscaling
  Research and experiments for downscaling climate/weather data via generative learning
  ☆34Updated 3 years ago
• m2lines / L96_demo
  Lorenz 1996 two time-scale model for learning machine learning
  ☆54Updated last month
• 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…
  ☆88Updated last month
• NCAR / ai4ess-hackathon-2020
  ☆111Updated 4 years ago
• eabarnes1010 / ml_tutorial_csu
  material for the CSU-led machine learning tutorial for earth science research
  ☆90Updated 3 years ago
• thunderhoser / GewitterGefahr
  End-to-end machine-learning library for predicting thunderstorm hazards.
  ☆34Updated last month
• NCAR / rda-apps-clients
  RDA apps clients. Subdirectories will be organized by language, e.g. python, perl, c++, bash
  ☆37Updated last year
• eabarnes1010 / controlled_abstention_networks
  Neural network loss functions for regression and classification tasks that can say "I don't know".
  ☆13Updated 3 years ago
• NCAR / goes16ci
  GOES-16 Convective Initiation Benchmark
  ☆17Updated 3 years ago
• DL4ES / DL4ES
  ☆162Updated 3 years ago
• anna-allen / convCNPClimate
  Implementation of convolutional conditional neural processes for statistical downscaling
  ☆33Updated 4 years ago