Alternatives and similar repositories for hur-detect

Users that are interested in hur-detect are comparing it to the libraries listed below

• paulo-o / forecast_rodeo
  ☆38Updated 5 years ago
• andregraubner / ClimateNet
  Climate Analytics using Deep Neural Networks in Python.
  ☆62Updated last year
• FrontierDevelopmentLab / CUMULO
  a benchmark dataset for training and evaluating global cloud classification models.
  ☆29Updated last year
• earthnet2021 / earthnet-model-intercomparison-suite
  ☆41Updated last year
• raspstephan / CBRAIN-CAM
  Code for neural network parameterization project
  ☆74Updated 5 years ago
• jleinonen / weather4cast-stage1
  Solution to the Weather4cast 2021 Stage 1 challenge
  ☆15Updated 3 years ago
• RolnickLab / climart
  A benchmark dataset for Machine Learning emulation of atmospheric radiative transfer in weather and climate models (NeurIPS 2021 Datasets…
  ☆40Updated 2 years ago
• gauchm / mts-lstm
  Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network
  ☆34Updated 4 years ago
• MIT-AI-Accelerator / neurips-2020-sevir
  Code and model benchmarks for "SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology"
  ☆82Updated 4 years ago
• djgagne / lorenz_gan
  Lorenz 96 model with GAN parameterization of unresolved scale (Y).
  ☆36Updated 5 years ago
• Ambrosys / climatelearn
  El nino forecast based on a few machine learning methods
  ☆24Updated 8 years ago
• ecmwf-lab / climetlab-s2s-ai-challenge
  climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
  ☆36Updated last year
• pangeo-data / mldata
  ML Datasets Catalog
  ☆57Updated last year
• ml-clim / drought-prediction
  A Machine Learning Pipeline to Predict Vegetation Health
  ☆31Updated 5 years ago
• monocongo / climate_learn
  Deep learning for climate modeling.
  ☆40Updated 6 years ago
• iarai / weather4cast
  Code accompanying our IARAI Weather4cast Challenge
  ☆47Updated 3 years ago
• crim-ca / crims2s
  ☆13Updated 3 years ago
• openclimatefix / satflow
  Satellite Optical Flow with machine learning models
  ☆61Updated last year
• raspstephan / Lorenz-Online
  Experiments demonstrating coupled online learning for machine learning parameterizations
  ☆21Updated 2 years ago
• tcapelle / metnet_pytorch
  A MetNet implementation in Pytorch and fastai
  ☆32Updated 3 years ago
• jleinonen / geogan
  Style-based GAN for geophysical fields
  ☆13Updated 5 years ago
• ashesh6810 / DLC_Extreme
  ☆14Updated 6 years ago
• geoslegend / Deep-Learning-for-Spatio-temporal-Prediction
  ☆57Updated 6 years ago
• rudolfwilliam / satellite_image_forecasting
  Models for the EarthNet2021 challenge.
  ☆44Updated 8 months ago
• pjpetersik / ninolearn
  NinoLearn is a research framework for statistical ENSO prediction.
  ☆10Updated 4 years ago
• tjvandal / deepsd
  DeepSD Super-resolution for Climate Downscaling in KDD 2017
  ☆92Updated 2 years ago
• spcl / deep-weather
  Deep Learning for Post-Processing Ensemble Weather Forecasts
  ☆93Updated 2 years ago
• hdrake / cmip6-temperature-demo
  Tutorials for basic analysis of CMIP6 climate models on the Google Cloud Platform.
  ☆72Updated 5 years ago
• Earth-Intelligence-Lab / LocalizedWeatherGNN
  This repository contains the code and data for the paper "Multi-Modal Graph Neural Networks for Localized Off-Grid Weather Forecasting".
  ☆39Updated last week
• salvaRC / Graphino
  Code associated with the paper "The World as a Graph: Improving El Niño Forecasting with Graph Neural Networks".
  ☆33Updated 2 years ago