Alternatives and similar repositories for mlmicrophysics

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

• thunderhoser / cira_uq4ml
  Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere
  ☆18Updated 2 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 6 years ago
• drsteve / PyForecastTools
  Forecast Verification/Validation Tools in Python
  ☆35Updated 2 years ago
• jswhit / sqgturb
  Python codes for studying predictability and data assimlation with a surface quasi-geostrophic turbulence model
  ☆35Updated 6 months ago
• thunderhoser / GewitterGefahr
  End-to-end machine-learning library for predicting thunderstorm hazards.
  ☆34Updated 3 weeks ago
• m2lines / L96_demo
  Lorenz 1996 two time-scale model for learning machine learning
  ☆56Updated 2 weeks ago
• Ambrosys / climatelearn
  El nino forecast based on a few machine learning methods
  ☆24Updated 9 years ago
• raspstephan / CBRAIN-CAM
  Code for neural network parameterization project
  ☆75Updated 5 years ago
• ecmwf / anemoi-inference
  ☆31Updated last week
• NCAR / PostProcessForecasts
  Beta for Pangeo Postprocessing
  ☆17Updated 5 years ago
• EUPP-benchmark / climetlab-eumetnet-postprocessing-benchmark
  A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
  ☆31Updated this week
• miniufo / xinvert
  Invert geophysical fluid dynamic problems (elliptic partial differential equations) using SOR iteration method.
  ☆56Updated 6 months ago
• NCAR / ai4ess-hackathon-2020-notebooks
  ☆14Updated 5 years ago
• ecmwf / anemoi-models
  ☆42Updated 9 months ago
• ecosme38 / Data-Assimilation-Notebooks
  ☆58Updated last year
• ecmwf-lab / climetlab-s2s-ai-challenge
  climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
  ☆36Updated 2 years ago
• tbeucler / CBRAIN-CAM
  Code for neural network parameterization project
  ☆19Updated last year
• ptandeo / AnDA
  ¡AnDA! is a Python library for the Analog Data Assimilation.
  ☆28Updated 3 years ago
• zhonghua-zheng / pyEOF
  pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python
  ☆42Updated 4 years ago
• spcl / deep-weather
  Deep Learning for Post-Processing Ensemble Weather Forecasts
  ☆92Updated 2 years ago
• lkugler / RTTOV-WRF
  Simulate SEVIRI satellite channels from WRF output
  ☆24Updated 9 months ago
• djgagne / lorenz_gan
  Lorenz 96 model with GAN parameterization of unresolved scale (Y).
  ☆36Updated 5 years ago
• steidani / ConTrack
  Contour Tracking of circulation anomalies (atmospheric blocking, cyclones and anticyclones) in weather and climate data
  ☆69Updated last year
• 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 weeks ago
• andregraubner / ClimateNet
  Climate Analytics using Deep Neural Networks in Python.
  ☆63Updated 2 years ago
• Climdyn / qgs
  A 2-layer quasi-geostrophic atmospheric model in Python. Can be coupled to a simple land or shallow-water ocean component.
  ☆39Updated 3 months ago
• djgagne / hagelslag
  Hagelslag supports segmentation and tracking of weather fields and scalable verification, including performance diagrams and reliability …
  ☆71Updated last year
• Shady-Ahmed / PyDA
  PyDA: A hands-on introduction to dynamical data assimilation with Python
  ☆73Updated 4 years ago
• xgcm / aerobulk-python
  A python wrapper for aerobulk (https://github.com/brodeau/aerobulk)
  ☆21Updated 2 weeks ago