Alternatives and similar repositories for public-downscaling-cgan:

Users that are interested in public-downscaling-cgan are comparing it to the libraries listed below

• raspstephan / nwp-downscale
  ☆40Updated 3 years ago
• jleinonen / downscaling-rnn-gan
  Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields
  ☆67Updated 3 years ago
• OpheliaMiralles / wind-downscaling-gan
  ☆31Updated 2 years ago
• robbiewatt1 / ClimateDiffuse
  Diffusion for climate downscaling
  ☆55Updated 9 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
• annavaughan / convCNPClimate
  Implementation of convolutional conditional neural processes for statistical downscaling
  ☆32Updated 4 years ago
• yingkaisha / JAMC_20_0057
  (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".
  ☆17Updated 3 years ago
• panbaoxiang / RADA
  Regularized Adversarial Domain Adaptation -- data-driven correction of climate model biases
  ☆11Updated 2 years ago
• carlos-gg / dl4ds
  Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…
  ☆91Updated 8 months ago
• SantanderMetGroup / DeepDownscaling
  Deep learning approaches for statistical downscaling in climate
  ☆72Updated 2 years ago
• thunderhoser / ml4convection
  Uses machine learning to predict convective initiation and decay from satellite data.
  ☆23Updated last year
• paulaharder / deep-downscaling-overview
  A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.
  ☆97Updated last month
• slerch / ppnn
  post-processing experiments with neural networks
  ☆61Updated 3 years ago
• tpys / FuXi-S2S
  ☆24Updated 10 months ago
• microsoft / WeatherReal-Benchmark
  Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.
  ☆22Updated last week
• RolnickLab / constrained-downscaling
  A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
  ☆84Updated last month
• mscheuerer / NeuralNetworkS2S
  Python code for MWR paper 'Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over Califor…
  ☆13Updated 4 years ago
• lzhengchun / DSGAN
  a GAN for precipitation downscaling
  ☆41Updated 3 years ago
• tjvandal / bcsd-python
  Tool using python and cdo to apply daily climate downscaling with BCSD.
  ☆34Updated 2 years ago
• MIT-AI-Accelerator / sevir_challenges
  AI Challenges based on the SEVIR weather dataset
  ☆42Updated 3 years ago
• khoehlein / CNNs-for-Wind-Field-Downscaling
  Code repository for the paper "A Comparative Study of Convolutional Neural Network Models for Wind Field Downscaling" by Kevin Höhlein, M…
  ☆15Updated 4 years ago
• EUPP-benchmark / climetlab-eumetnet-postprocessing-benchmark
  A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
  ☆31Updated 5 months ago
• ecmwf-lab / ml-training-course
  ☆19Updated last year
• tjvandal / deepsd
  DeepSD Super-resolution for Climate Downscaling in KDD 2017
  ☆91Updated 2 years ago
• ZiluM / sacpy
  A Python Package for Statistical Analysis of Climate
  ☆61Updated 8 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".
  ☆39Updated 4 months ago
• ECMWFCode4Earth / DeepR
  DeepR: Deep Reanalysis
  ☆24Updated last year
• NMC-DAVE / dk_tutorials_2021
  2021年统计后处理培训教程.
  ☆18Updated 3 years ago
• ecmwf / anemoi-inference
  ☆26Updated this week
• shenyulu / easyclimate
  A line of code to analyze climate
  ☆38Updated this week