Alternatives and similar repositories for CBRAIN-CAM

Users that are interested in CBRAIN-CAM are comparing it to the libraries listed below

• raspstephan / CBRAIN-CAM
  Code for neural network parameterization project
  ☆76Updated 5 years ago
• TomBolton / DeepEddy
  Python code for "Applications of Deep Learning to Ocean Data Inference and Sub-Grid Parameterisation" (https://doi.org/10.1029/2018MS0014…
  ☆49Updated 7 years ago
• ecmwf-lab / climetlab-s2s-ai-challenge
  climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
  ☆36Updated 2 years ago
• jswhit / sqgturb
  Python codes for studying predictability and data assimlation with a surface quasi-geostrophic turbulence model
  ☆37Updated this week
• thunderhoser / cira_uq4ml
  Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere
  ☆19Updated 3 years ago
• andregraubner / ClimateNet
  Climate Analytics using Deep Neural Networks in Python.
  ☆66Updated 2 years ago
• deepsphere / deepsphere-weather
  A spherical CNN for weather forecasting
  ☆73Updated 3 years ago
• djgagne / lorenz_gan
  Lorenz 96 model with GAN parameterization of unresolved scale (Y).
  ☆37Updated 5 years ago
• StevePny / DataAssimBench
  Benchmarking tools for applying AI/ML to data assimilation
  ☆24Updated 6 months ago
• NCAR / mlmicrophysics
  Machine learning emulators for microphysical processes.
  ☆14Updated 7 months ago
• pangeo-data / mldata
  ML Datasets Catalog
  ☆59Updated 2 years ago
• AtmosSci-DLESM / DLESyM
  Software for training, running and analyzing a Deep Learning Earth System Model (DLESyM)
  ☆22Updated 3 weeks ago
• raspstephan / nwp-downscale
  ☆40Updated 4 years ago
• EUPP-benchmark / climetlab-eumetnet-postprocessing-benchmark
  A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
  ☆32Updated last week
• duncanwp / ClimateBench
  ☆106Updated last year
• drsteve / PyForecastTools
  Forecast Verification/Validation Tools in Python
  ☆35Updated 2 years ago
• RolnickLab / climart
  A benchmark dataset for Machine Learning emulation of atmospheric radiative transfer in weather and climate models (NeurIPS 2021 Datasets…
  ☆41Updated 3 years ago
• NCAR / ai4ess-hackathon-2020-notebooks
  ☆14Updated 5 years ago
• duncanwp / ESEm
  Easy emulating of geophysical models including (but not limited to!) Earth System Models.
  ☆59Updated 9 months ago
• paulaharder / deep-downscaling-overview
  A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.
  ☆104Updated 9 months ago
• spcl / deep-weather
  Deep Learning for Post-Processing Ensemble Weather Forecasts
  ☆92Updated 2 years ago
• Shady-Ahmed / PyDA
  PyDA: A hands-on introduction to dynamical data assimilation with Python
  ☆75Updated 5 years ago
• ai2es / miles-guess
  Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.
  ☆29Updated 5 months ago
• francois-rozet / sda
  Official implementation of Score-based Data Assimilation
  ☆74Updated last year
• m2lines / L96_demo
  Lorenz 1996 two time-scale model for learning machine learning
  ☆57Updated 3 weeks ago
• slerch / ppnn
  post-processing experiments with neural networks
  ☆63Updated 4 years ago
• darothen / ai-models-for-all
  Run AI NWP forecasts hassle-free, serverless in the cloud!
  ☆115Updated last year
• ECMWFCode4Earth / diffusion-models-for-weather-prediction
  ☆26Updated last year
• NVlabs / cBottle
  A generative foundation model for the kilometer-scale atmosphere
  ☆87Updated last week
• ecosme38 / Data-Assimilation-Notebooks
  ☆58Updated last year