Alternatives and similar repositories for ml-training-course

Users that are interested in ml-training-course 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
  ☆73Updated 4 years ago
• spcl / deep-weather
  Deep Learning for Post-Processing Ensemble Weather Forecasts
  ☆92Updated 2 years ago
• ecmwf / anemoi-models
  ☆42Updated 9 months ago
• ecmwf / anemoi-inference
  ☆31Updated this week
• slerch / ppnn
  post-processing experiments with neural networks
  ☆63Updated 3 years ago
• lkugler / RTTOV-WRF
  Simulate SEVIRI satellite channels from WRF output
  ☆24Updated 9 months ago
• ai2es / WAF_ML_Tutorial_Part1
  Python code to assist in familiarizing meteorologists with machine learning
  ☆60Updated 2 years ago
• ecmwf / anemoi-utils
  ☆13Updated this week
• robbiewatt1 / ClimateDiffuse
  Diffusion for climate downscaling
  ☆69Updated last year
• djgagne / hagelslag
  Hagelslag supports segmentation and tracking of weather fields and scalable verification, including performance diagrams and reliability …
  ☆71Updated last year
• tpys / FuXi-S2S
  ☆34Updated 3 months ago
• panbaoxiang / RADA
  Regularized Adversarial Domain Adaptation -- data-driven correction of climate model biases
  ☆11Updated 3 years ago
• ecmwf / anemoi-core
  Core packages for Anemoi.
  ☆78Updated this week
• NMC-DAVE / dk_tutorials_2021
  2021年统计后处理培训教程.
  ☆18Updated 4 years ago
• ai2es / WAF_ML_Tutorial_Part2
  Python code to assist in familiarizing meteorologists with machine learning
  ☆31Updated 9 months ago
• paulaharder / deep-downscaling-overview
  A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.
  ☆100Updated 7 months ago
• carlos-gg / dl4ds
  Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…
  ☆94Updated last year
• tbeucler / HybridESM
  This page reviews and organizes emerging hybrid Earth System Models (ESMs), which combine machine learning and physics-based components.
  ☆49Updated 2 weeks ago
• OpheliaMiralles / wind-downscaling-gan
  ☆34Updated 2 years ago
• eWaterCycle / era5cli
  Command Line Interface to download ERA5 from Copernicus Climate Data Service
  ☆56Updated 6 months ago
• thunderhoser / cira_ml_short_course
  Notebooks for CIRA (Cooperative Institute for Research in the Atmosphere) machine-learning short course.
  ☆23Updated last year
• SantanderMetGroup / DeepDownscaling
  Deep learning approaches for statistical downscaling in climate
  ☆71Updated 3 years ago
• ecmwf-lab / climetlab-s2s-ai-challenge
  climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
  ☆36Updated 2 years ago
• thunderhoser / ml4convection
  Uses machine learning to predict convective initiation and decay from satellite data.
  ☆24Updated 2 years ago
• anna-allen / convCNPClimate
  Implementation of convolutional conditional neural processes for statistical downscaling
  ☆33Updated 4 years ago
• ZiluM / sacpy
  A Python Package for Statistical Analysis of Climate
  ☆63Updated last year
• EUPP-benchmark / climetlab-eumetnet-postprocessing-benchmark
  A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
  ☆31Updated this week
• thunderhoser / cira_uq4ml
  Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere
  ☆18Updated 2 years ago
• dniloash / Pywinter
  Python lib for Reading/Creating MPAS/WRF-WPS intermediate file
  ☆25Updated 9 months ago