Alternatives and similar repositories for LocalizedWeather

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

• RolnickLab / constrained-downscaling
  A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
  ☆95Updated 11 months ago
• paulaharder / deep-downscaling-overview
  A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.
  ☆106Updated 11 months ago
• microsoft / subseasonal_toolkit
  Subseasonal forecasting models
  ☆56Updated last year
• OpheliaMiralles / wind-downscaling-gan
  ☆35Updated 3 years ago
• opengeos / earthformer
  A Python package for Earth forecasting transformer
  ☆91Updated last year
• pangeo-data / mldata
  ML Datasets Catalog
  ☆60Updated 2 years ago
• ECMWFCode4Earth / DeepR
  DeepR: Deep Reanalysis
  ☆32Updated 2 years ago
• brightbandtech / ExtremeWeatherBench
  Benchmarking of machine learning and numerical weather prediction (MLWP & NWP) models, with a focus on extreme events.
  ☆97Updated this week
• carlos-gg / dl4ds
  Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…
  ☆98Updated last year
• raspstephan / nwp-downscale
  ☆41Updated 4 years ago
• ai2cm / ace
  Ai2 Climate Emulator: fast machine learning models for weather and climate prediction
  ☆181Updated this week
• 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…
  ☆89Updated 3 months ago
• ecmwf-lab / climetlab-s2s-ai-challenge
  climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
  ☆38Updated 2 years ago
• SantanderMetGroup / DeepDownscaling
  Deep learning approaches for statistical downscaling in climate
  ☆74Updated 3 years ago
• alan-turing-institute / deepsensor
  A Python package for tackling diverse environmental prediction tasks with NPs.
  ☆121Updated 3 weeks ago
• slerch / ppnn
  post-processing experiments with neural networks
  ☆63Updated 4 years ago
• Orion-AI-Lab / igarss24_DL4NH
  IGARSS 2024 Tutorial "A Practical Session on Deep Learning Advances for Monitoring and forecasting Natural Hazards"
  ☆31Updated last year
• anna-allen / convCNPClimate
  Implementation of convolutional conditional neural processes for statistical downscaling
  ☆34Updated 4 years ago
• duncanwp / ClimateBench
  ☆110Updated last year
• NVlabs / cBottle
  A generative foundation model for the kilometer-scale atmosphere
  ☆90Updated last month
• google-research / weatherbenchX
  A modular framework for evaluating weather forecasts
  ☆176Updated last week
• spcl / deep-weather
  Deep Learning for Post-Processing Ensemble Weather Forecasts
  ☆92Updated 2 years ago
• juaAI / stationbench
  Benchmarking of weather forecasts based on station observations
  ☆85Updated 7 months ago
• LGlawion / spateGAN_ERA5
  spateGAN-ERA5: deep learning based spatio-temporal downscaling of ERA5 precipitation
  ☆34Updated 2 weeks ago
• AtmosSci-DLESM / DLESyM
  Software for training, running and analyzing a Deep Learning Earth System Model (DLESyM)
  ☆25Updated 2 weeks ago
• openclimatefix-archives / satflow
  Satellite Optical Flow with machine learning models
  ☆63Updated 2 years ago
• microsoft / subseasonal_data
  Data access package for the SubseasonalClimateUSA dataset
  ☆36Updated last year
• microsoft / WeatherReal-Benchmark
  Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.
  ☆39Updated 10 months ago
• andregraubner / ClimateNet
  Climate Analytics using Deep Neural Networks in Python.
  ☆67Updated 2 years ago
• eabarnes1010 / course_ml_ats
  machine learning for the atmospheric sciences - a CSU course
  ☆34Updated 2 years ago