Alternatives and similar repositories for hurricast

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

• georgemilosh / Climate-Learning
  How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
  ☆22Updated 5 months ago
• ai2es / miles-guess
  Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.
  ☆27Updated last month
• pangeo-data / mldata
  ML Datasets Catalog
  ☆58Updated 2 years ago
• AtmosSci-DLESM / DLESyM
  Software for training, running and analyzing a Deep Learning Earth System Model (DLESyM)
  ☆17Updated last month
• microsoft / subseasonal_data
  Data access package for the SubseasonalClimateUSA dataset
  ☆33Updated 9 months ago
• openclimatefix / diffusion_weather
  Testing out Diffusion-based models for weather and PV forecasting
  ☆14Updated 2 weeks ago
• salvaRC / Graphino
  Code associated with the paper "The World as a Graph: Improving El Niño Forecasting with Graph Neural Networks".
  ☆33Updated 2 years ago
• IPL-UV / AIDE
  ☆20Updated 2 months ago
• raspstephan / Lorenz-Online
  Experiments demonstrating coupled online learning for machine learning parameterizations
  ☆22Updated 2 years ago
• modons / DL-weather-dynamics
  ☆21Updated last year
• eabarnes1010 / controlled_abstention_networks
  Neural network loss functions for regression and classification tasks that can say "I don't know".
  ☆13Updated 3 years ago
• EUPP-benchmark / climetlab-eumetnet-postprocessing-benchmark
  A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
  ☆31Updated 2 weeks ago
• thunderhoser / cira_uq4ml
  Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere
  ☆17Updated 2 years ago
• duncanwp / ClimateBench
  ☆91Updated last year
• p-hss / consistency-climate-downscaling
  ☆32Updated 3 months ago
• NCAR / ai4ess-hackathon-2020-notebooks
  ☆14Updated 5 years ago
• gcosne / OceanographyProject
  Today satellites provide a surface signature of the temperature with a high spatial frequency: ie a good horizontal resolution but a low …
  ☆13Updated 5 years ago
• nram812 / A-Robust-Generative-Adversarial-Network-Approach-for-Climate-Downscaling
  Code for paper "A Robust Generative Adversarial Network Approach for Climate Downscaling"
  ☆11Updated 11 months ago
• microsoft / subseasonal_toolkit
  Subseasonal forecasting models
  ☆55Updated 6 months ago
• andregraubner / ClimateNet
  Climate Analytics using Deep Neural Networks in Python.
  ☆63Updated last year
• ecmwf-lab / climetlab-s2s-ai-challenge
  climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
  ☆36Updated last year
• leap-stc / EAEE4000_ML_for_Env_Eng_Sci
  ☆33Updated last year
• deepsphere / deepsphere-weather
  A spherical CNN for weather forecasting
  ☆72Updated 2 years ago
• FREVA-CLINT / climatereconstructionAI
  Software to train/evaluate models to reconstruct missing values in climate data (e.g., HadCRUT4) based on a U-Net with partial convolutio…
  ☆86Updated 3 weeks ago
• Earth-Intelligence-Lab / LocalizedWeather
  This repository contains the code and data for the paper "Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data".
  ☆42Updated last week
• spcl / ens10
  Scripts and examples for the ENS-10 Ensemble Prediction System machine learning dataset
  ☆30Updated 2 years ago
• ECMWFCode4Earth / diffusion-models-for-weather-prediction
  ☆26Updated last year
• peernow / CME_NCOMMS_2020
  Supplementary files and scripts for Nowack et al., Causal networks for climate model evaluation and constrained projections, Nature Commu…
  ☆19Updated 4 years ago
• eabarnes1010 / course_ml_ats
  machine learning for the atmospheric sciences - a CSU course
  ☆32Updated last year
• ashesh6810 / machine_learning_for_climate
  A set of pre-processing codes, A deep convolutional neural net and post-processing codes for classifying turbulent climate patterns
  ☆12Updated 7 years ago