Alternatives and similar repositories for spate-gan

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

• microsoft / subseasonal_data
  Data access package for the SubseasonalClimateUSA dataset
  ☆32Updated 7 months 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
• iarai / weather4cast
  Code accompanying our IARAI Weather4cast Challenge
  ☆48Updated 3 years ago
• leap-stc / ChaosBench
  ☆39Updated 2 months ago
• anna-allen / convCNPClimate
  Implementation of convolutional conditional neural processes for statistical downscaling
  ☆33Updated 4 years ago
• openclimatefix / satflow
  Satellite Optical Flow with machine learning models
  ☆61Updated last year
• tcapelle / cloud_diffusion
  Diffusion on the Clouds: Short-term solar energy forecasting with Diffusion Models
  ☆43Updated last year
• openclimatefix / diffusion_weather
  Testing out Diffusion-based models for weather and PV forecasting
  ☆14Updated 2 months ago
• pangeo-data / mldata
  ML Datasets Catalog
  ☆58Updated last year
• IPL-UV / AIDE
  ☆18Updated 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
• 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
• NVlabs / cBottle
  A generative foundation model for the kilometer-scale atmosphere
  ☆46Updated this week
• iarai / weather4cast-2022
  Starter Kit for the NeurIPS 2022 Weather4cast competition
  ☆55Updated 2 years ago
• konstantinklemmer / pe-gnn
  PyTorch implementation of the paper "Positional Encoder Graph Neural Networks for Geographic Data"
  ☆53Updated last year
• tcapelle / metnet_pytorch
  A MetNet implementation in Pytorch and fastai
  ☆32Updated 3 years ago
• modons / DL-weather-dynamics
  ☆20Updated last year
• p-hss / consistency-climate-downscaling
  ☆26Updated last month
• alan-turing-institute / deepsensor
  A Python package for tackling diverse environmental prediction tasks with NPs.
  ☆114Updated last week
• georgemilosh / Climate-Learning
  How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
  ☆22Updated 2 months ago
• EnergyWeatherAI / GenerativeNowcasting
  Code repository for "Extending intraday solar forecast with deep generative models".
  ☆17Updated 11 months ago
• gcouairon / ArchesWeather
  ☆43Updated 4 months ago
• earthnet2021 / earthnet-models-pytorch
  EarthNet Models PyTorch - Deep Neural Networks for geospatial vegetation forecasting.
  ☆33Updated 7 months ago
• EUPP-benchmark / climetlab-eumetnet-postprocessing-benchmark
  A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
  ☆31Updated 7 months 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".
  ☆40Updated last month
• ai2es / miles-guess
  Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.
  ☆27Updated 8 months ago
• tbeucler / CBRAIN-CAM
  Code for neural network parameterization project
  ☆19Updated last year
• leap-stc / ClimSim
  An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.
  ☆150Updated 4 months ago
• microsoft / subseasonal_toolkit
  Subseasonal forecasting models
  ☆54Updated 4 months ago
• blutjens / awesome-MIT-ai-for-climate-change
  🌍 A curated list of MIT faculty that tackle climate change with machine learning for applying students, undergraduates, or others
  ☆47Updated 3 months ago