Alternatives and similar repositories for forecast_rodeo

Users that are interested in forecast_rodeo 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 last year
• FrontierDevelopmentLab / CUMULO
  a benchmark dataset for training and evaluating global cloud classification models.
  ☆29Updated last year
• nicolasfauchereau / Auckland_Python_Workshop
  Python for Climate and Meteorological Data Analysis and Visualisation
  ☆21Updated 6 years ago
• 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 / ai4ess-hackathon-2020-notebooks
  ☆14Updated 4 years ago
• pjpetersik / ninolearn
  NinoLearn is a research framework for statistical ENSO prediction.
  ☆10Updated 4 years ago
• andregraubner / ClimateNet
  Climate Analytics using Deep Neural Networks in Python.
  ☆62Updated last year
• ECMWFCode4Earth / aq-biascorrection
  Bias correction of air quality CAMS model predictions by using OpenAQ observations.
  ☆11Updated 3 years ago
• bgroenks96 / generative-downscaling
  Research and experiments for downscaling climate/weather data via generative learning
  ☆34Updated 3 years ago
• eabarnes1010 / course_ml_ats
  machine learning for the atmospheric sciences - a CSU course
  ☆32Updated last year
• microsoft / subseasonal_data
  Data access package for the SubseasonalClimateUSA dataset
  ☆32Updated 7 months ago
• hdrake / cmip6-temperature-demo
  Tutorials for basic analysis of CMIP6 climate models on the Google Cloud Platform.
  ☆72Updated 5 years ago
• crim-ca / crims2s
  ☆13Updated 3 years ago
• Ambrosys / climatelearn
  El nino forecast based on a few machine learning methods
  ☆24Updated 8 years ago
• ashesh6810 / DLC_Extreme
  ☆14Updated 6 years ago
• eracah / hur-detect
  Deep Semi-Supervised Object Detection for Extreme Weather Events
  ☆57Updated 7 years ago
• raspstephan / Lorenz-Online
  Experiments demonstrating coupled online learning for machine learning parameterizations
  ☆21Updated 2 years ago
• darothen / cmip6hack-toe
  Working repository for planning/execution of the "Time of Emergence" project at the CMIP6 Hackathon
  ☆15Updated 5 years ago
• julherest / drought_clusters
  Code used to identify and analyze drought clusters from gridded data.
  ☆26Updated 2 years ago
• pangeo-data / mldata
  ML Datasets Catalog
  ☆58Updated last year
• 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
• NCAR / goes16ci
  GOES-16 Convective Initiation Benchmark
  ☆17Updated 2 years ago
• raybellwaves / xskillscore-tutorial
  ☆10Updated 4 years ago
• TUW-GEO / ecmwf_models
  Python package for downloading ECMWF reanalysis data and converting it into a time series format.
  ☆42Updated 3 weeks ago
• monocongo / climate_learn
  Deep learning for climate modeling.
  ☆40Updated 6 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…
  ☆56Updated 7 years ago
• matteodefelice / C3S_evaluator
  A simple way to evaluate Copernicus Climate Change (C3S) seasonal forecasts monthly data
  ☆13Updated 3 years ago
• NCAR / mlmicrophysics
  Machine learning emulators for microphysical processes.
  ☆13Updated last month
• mscheuerer / NeuralNetworkS2S
  Python code for MWR paper 'Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over Califor…
  ☆13Updated 5 years ago
• ahernanzl / pyClim-SDM
  Statistical Downscaling for Climate Change Projections with a Graphical User Interface
  ☆31Updated 6 months ago