Alternatives and similar repositories for forecast_rodeo

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

• eabarnes1010 / controlled_abstention_networks
  Neural network loss functions for regression and classification tasks that can say "I don't know".
  ☆13Updated 4 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
• NCAR / ai4ess-hackathon-2020-notebooks
  ☆14Updated 5 years ago
• semvijverberg / RGCPD
  Climate analysis toolbox to investigate teleconnections, test for causality, and make forecasts.
  ☆33Updated 3 years ago
• bgroenks96 / generative-downscaling
  Research and experiments for downscaling climate/weather data via generative learning
  ☆38Updated 3 years ago
• nicolasfauchereau / Auckland_Python_Workshop
  Python for Climate and Meteorological Data Analysis and Visualisation
  ☆21Updated 6 years ago
• Ambrosys / climatelearn
  El nino forecast based on a few machine learning methods
  ☆24Updated 9 years ago
• andregraubner / ClimateNet
  Climate Analytics using Deep Neural Networks in Python.
  ☆66Updated 2 years ago
• duncanwp / python_for_climate_scientists
  A python course intended to provide a thorough grounding for those working in the earth sciences
  ☆37Updated 8 years ago
• hdrake / cmip6-temperature-demo
  Tutorials for basic analysis of CMIP6 climate models on the Google Cloud Platform.
  ☆74Updated 5 years ago
• NCAR / goes16ci
  GOES-16 Convective Initiation Benchmark
  ☆18Updated 3 years ago
• djgagne / swirlnet
  Deep learning tutorial for predicting low-level rotation.
  ☆18Updated 7 years ago
• royalosyin / A-Beginner-Guide-to-Carry-out-Extreme-Value-Analysis-with-Codes-in-Python
  A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential interv…
  ☆60Updated 8 years ago
• slerch / ppnn
  post-processing experiments with neural networks
  ☆63Updated 4 years ago
• monocongo / climate_learn
  Deep learning for climate modeling.
  ☆43Updated 6 years ago
• tjvandal / bcsd-python
  Tool using python and cdo to apply daily climate downscaling with BCSD.
  ☆38Updated 3 years ago
• FrontierDevelopmentLab / CUMULO
  a benchmark dataset for training and evaluating global cloud classification models.
  ☆32Updated 2 years ago
• eracah / hur-detect
  Deep Semi-Supervised Object Detection for Extreme Weather Events
  ☆59Updated 8 years ago
• julherest / drought_clusters
  Code used to identify and analyze drought clusters from gridded data.
  ☆26Updated 3 years ago
• matteodefelice / C3S_evaluator
  A simple way to evaluate Copernicus Climate Change (C3S) seasonal forecasts monthly data
  ☆13Updated 3 years ago
• josuemtzmo / EKE_SST_trends
  A repository with Jupyter notebooks that reproduce the analyses and figures included in the manuscript "Global changes in oceanic mesosca…
  ☆21Updated 4 years ago
• eabarnes1010 / course_ml_ats
  machine learning for the atmospheric sciences - a CSU course
  ☆34Updated 2 years ago
• TUW-GEO / ecmwf_models
  Python package for downloading ECMWF reanalysis data and converting it into a time series format.
  ☆43Updated 3 weeks ago
• scotthosking / baspy
  Making it far easier to read in and work with large volumes of climate model output from CMIP5/6
  ☆21Updated 5 years ago
• raspstephan / CBRAIN-CAM
  Code for neural network parameterization project
  ☆76Updated 5 years ago
• NCAR / GARD
  Generalized Analog Regression Downscaling (GARD) code
  ☆34Updated last year
• raybellwaves / xskillscore-tutorial
  ☆10Updated 4 years ago
• crim-ca / crims2s
  ☆14Updated 4 years ago
• coecms / era5
  Python code to manage ERA5 downloads at NCI
  ☆33Updated 4 years ago
• raspstephan / Lorenz-Online
  Experiments demonstrating coupled online learning for machine learning parameterizations
  ☆22Updated 2 years ago