Alternatives and similar repositories for EAEE4000_ML_for_Env_Eng_Sci:

Users that are interested in EAEE4000_ML_for_Env_Eng_Sci are comparing it to the libraries listed below

• eabarnes1010 / course_ml_ats
  machine learning for the atmospheric sciences - a CSU course
  ☆32Updated last year
• eWaterCycle / era5cli
  Command Line Interface to download ERA5 from Copernicus Climate Data Service
  ☆52Updated 3 weeks ago
• pyearthsci / lavendar
  The Land Variational Ensemble Data Assimilation fRamework (LaVEnDAR) implements the method of Four-Dimensional Ensemble Variational data …
  ☆19Updated 3 years ago
• cghoffmann / mjoindices
  This repository provides a Python implementation of the calculation algorithm for the OLR-based MJO index (OMI).
  ☆37Updated 2 years ago
• duncanwp / ClimateBench
  ☆90Updated last year
• CLIVAR-PRP / ENSO_metrics
  CMIP ENSO metrics python code
  ☆31Updated 3 months ago
• coecms / era5
  Python code to manage ERA5 downloads at NCI
  ☆32Updated 4 years ago
• ai2cm / ace
  Ai2 Climate Emulator
  ☆91Updated 2 months ago
• yingkaisha / JAMC_20_0057
  (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".
  ☆17Updated 3 years ago
• Yefee / xcesm
  python package for cesm output diagnosis
  ☆24Updated 5 years ago
• pangeo-gallery / cmip6
  Examples of CMIP6 cloud data analysis with Pangeo
  ☆24Updated 11 months ago
• NCAR / ai4ess-hackathon-2020
  ☆111Updated 3 years ago
• ecmwf-projects / ibicus
  Flexible and user-friendly toolkit for the bias correction of climate models and associated evaluation.
  ☆57Updated last week
• ZiluM / sacpy
  A Python Package for Statistical Analysis of Climate
  ☆61Updated 8 months ago
• joelfiddes / topoCLIM
  Methods to downscale climate timeseries from CORDEX RCM data.
  ☆10Updated last year
• georgemilosh / Climate-Learning
  How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
  ☆21Updated 3 weeks ago
• josuemtzmo / xarrayMannKendall
  xarrayMannKendall is a module to compute the significance of linear trends over 2D and 3D arrays using the Mann-Kendall method.
  ☆23Updated 2 years ago
• AI4S2S / s2spy
  A high-level python package integrating expert knowledge and artificial intelligence to boost (sub) seasonal forecasting
  ☆21Updated 6 months ago
• NCAR / PostProcessForecasts
  Beta for Pangeo Postprocessing
  ☆17Updated 4 years ago
• shenyulu / easyclimate
  A line of code to analyze climate
  ☆38Updated last week
• drewpolasky / CCdownscaling
  ☆26Updated 10 months ago
• duncanwp / ESEm
  Easy emulating of geophysical models including (but not limited to!) Earth System Models.
  ☆56Updated last month
• maikejulie / DNN4Cli
  Code for Sonnewald and Lguensat 2021
  ☆22Updated 2 years ago
• senclimate / XRO
  XRO: Extended nonlinear Recharge Oscillator model
  ☆16Updated last month
• alburke / ams-2020-ml-python-course
  Materials for the Machine Learning in Python for Environmental Science Problems AMS 2020 Short Course
  ☆29Updated 5 years ago
• NCAR / wrf_hydro_training
  Jupyter notebooks for WRF-Hydro trainings
  ☆53Updated 8 months ago
• NCAR / miles-credit
  MILES Community Research Digital Intelligence Twin (CREDIT): research platform for AI numerical weather prediction models.
  ☆23Updated this week
• robbiewatt1 / ClimateDiffuse
  Diffusion for climate downscaling
  ☆56Updated 9 months ago
• duncanwp / python_for_climate_scientists
  A python course intended to provide a thorough grounding for those working in the earth sciences
  ☆35Updated 7 years ago
• m2lines / L96_demo
  Lorenz 1996 two time-scale model for learning machine learning
  ☆50Updated 2 months ago