Alternatives and similar repositories for spate-gan

Users that are interested in spate-gan are comparing it to the libraries listed below

• anna-allen / convCNPClimate
  Implementation of convolutional conditional neural processes for statistical downscaling
  ☆33Updated 4 years ago
• microsoft / subseasonal_data
  Data access package for the SubseasonalClimateUSA dataset
  ☆33Updated 9 months ago
• IPL-UV / AIDE
  ☆20Updated 2 months 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
• RolnickLab / climart
  A benchmark dataset for Machine Learning emulation of atmospheric radiative transfer in weather and climate models (NeurIPS 2021 Datasets…
  ☆41Updated 2 years ago
• iarai / weather4cast
  Code accompanying our IARAI Weather4cast Challenge
  ☆49Updated 3 years ago
• tcapelle / cloud_diffusion
  Diffusion on the Clouds: Short-term solar energy forecasting with Diffusion Models
  ☆47Updated last year
• pangeo-data / mldata
  ML Datasets Catalog
  ☆58Updated 2 years ago
• deepsphere / deepsphere-weather
  A spherical CNN for weather forecasting
  ☆72Updated 2 years 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
• iarai / weather4cast-2022
  Starter Kit for the NeurIPS 2022 Weather4cast competition
  ☆55Updated 2 years ago
• duncanwp / ClimateBench
  ☆91Updated last year
• tcapelle / metnet_pytorch
  A MetNet implementation in Pytorch and fastai
  ☆31Updated 4 years ago
• alan-turing-institute / deepsensor
  A Python package for tackling diverse environmental prediction tasks with NPs.
  ☆115Updated 3 months ago
• salvaRC / El-GNNino
  Code associated with the NeurIPS 2020 Climate Change workshop proposal paper "Graph Neural Networks for Improved El Niño Forecasting"
  ☆35Updated 4 years ago
• ECMWFCode4Earth / diffusion-models-for-weather-prediction
  ☆26Updated last year
• openclimatefix / satflow
  Satellite Optical Flow with machine learning models
  ☆62Updated last year
• openclimatefix / diffusion_weather
  Testing out Diffusion-based models for weather and PV forecasting
  ☆14Updated 2 weeks ago
• tom-andersson / icenet-paper
  Code associated with the paper 'Seasonal Arctic sea ice forecasting with probabilistic deep learning'
  ☆100Updated last year
• FrontierDevelopmentLab / PyRain
  ☆39Updated 4 years ago
• leap-stc / ClimSim
  An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.
  ☆157Updated 6 months ago
• RolnickLab / constrained-downscaling
  A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
  ☆87Updated 6 months ago
• georgemilosh / Climate-Learning
  How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
  ☆22Updated 5 months ago
• EUPP-benchmark / climetlab-eumetnet-postprocessing-benchmark
  A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
  ☆31Updated 2 weeks ago
• ai2es / miles-guess
  Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.
  ☆27Updated last month
• AtmosSci-DLESM / DLESyM
  Software for training, running and analyzing a Deep Learning Earth System Model (DLESyM)
  ☆17Updated last month
• yongquan-qu / SLAMS
  SLAMS: Score-based Latent Assimilation in Multimodal Setting
  ☆39Updated last year
• gcouairon / ArchesWeather
  ☆46Updated 7 months ago
• microsoft / WeatherReal-Benchmark
  Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.
  ☆30Updated 4 months ago
• ecmwf-lab / climetlab-s2s-ai-challenge
  climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
  ☆36Updated last year