Alternatives and similar repositories for mldata

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

• duncanwp / ClimateBench
  ☆91Updated last year
• andregraubner / ClimateNet
  Climate Analytics using Deep Neural Networks in Python.
  ☆63Updated last year
• ecmwf-lab / climetlab-s2s-ai-challenge
  climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
  ☆36Updated last year
• RolnickLab / constrained-downscaling
  A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
  ☆87Updated 5 months ago
• openclimatefix / satflow
  Satellite Optical Flow with machine learning models
  ☆62Updated last year
• EUPP-benchmark / climetlab-eumetnet-postprocessing-benchmark
  A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
  ☆31Updated 9 months ago
• NVlabs / cBottle
  A generative foundation model for the kilometer-scale atmosphere
  ☆65Updated last month
• spcl / deep-weather
  Deep Learning for Post-Processing Ensemble Weather Forecasts
  ☆93Updated 2 years ago
• OpheliaMiralles / wind-downscaling-gan
  ☆34Updated 2 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".
  ☆40Updated 2 months ago
• paulaharder / deep-downscaling-overview
  A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.
  ☆98Updated 5 months ago
• microsoft / subseasonal_toolkit
  Subseasonal forecasting models
  ☆54Updated 6 months ago
• anna-allen / convCNPClimate
  Implementation of convolutional conditional neural processes for statistical downscaling
  ☆33Updated 4 years ago
• slerch / ppnn
  post-processing experiments with neural networks
  ☆62Updated 3 years ago
• ai2cm / ace
  Ai2 Climate Emulator
  ☆109Updated 2 weeks ago
• deepsphere / deepsphere-weather
  A spherical CNN for weather forecasting
  ☆72Updated 2 years ago
• ai2es / miles-guess
  Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.
  ☆27Updated 3 weeks ago
• microsoft / WeatherReal-Benchmark
  Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.
  ☆30Updated 4 months ago
• duncanwp / ESEm
  Easy emulating of geophysical models including (but not limited to!) Earth System Models.
  ☆58Updated 4 months ago
• darothen / ai-models-for-all
  Run AI NWP forecasts hassle-free, serverless in the cloud!
  ☆114Updated last year
• brightbandtech / ExtremeWeatherBench
  Benchmarking of machine learning and numerical weather prediction (MLWP & NWP) models, with a focus on extreme events.
  ☆58Updated this week
• raspstephan / nwp-downscale
  ☆40Updated 3 years ago
• bgroenks96 / generative-downscaling
  Research and experiments for downscaling climate/weather data via generative learning
  ☆34Updated 3 years ago
• thunderhoser / cira_uq4ml
  Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere
  ☆17Updated 2 years ago
• georgemilosh / Climate-Learning
  How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
  ☆22Updated 4 months ago
• robbiewatt1 / ClimateDiffuse
  Diffusion for climate downscaling
  ☆66Updated last year
• microsoft / subseasonal_data
  Data access package for the SubseasonalClimateUSA dataset
  ☆34Updated 9 months ago
• rebase-energy / awesome-weather-models
  🌦️ A catalogue and categorization of AI-based weather forecasting models.
  ☆131Updated 2 months ago
• raspstephan / CBRAIN-CAM
  Code for neural network parameterization project
  ☆74Updated 5 years ago
• ecmwf / anemoi-inference
  ☆28Updated this week