wangyueya

wangyueya's Stars

• 198808xc/Pangu-Weather

  An official implementation of Pangu-Weather

  Language:Python1.1k202

• lzhenn/cmip6-to-wrfinterm

  tools to process cmip6 data to drive wrf

  Language:Python3418

• openclimatefix/metnet

  PyTorch Implementation of Google Research's MetNet and MetNet-2

  Language:Python24249

• ocean-eddy-cpt/gcm-filters

  Diffusion-based Spatial Filtering of Gridded Data

  Language:Python3724

• myying/WRF_DART

  Control scripts for running DART with WRF model

  Language:Shell43

• mchoblet/ensemblefilters

  A collection of ensemble square root kalman filters implemented in Python

  Language:Python122

• metno/bliss_rr

  bliss_rr - Bayesian statisticaL Interpolation for Spatial analySis of precipitation

  Language:R11

• jswhit/da_scripts

  Language:Shell311

• bugsuse/meteoai

  The papers or tutorials and relative source code of artificial intelligence for meteorology, ocean and environment science.

  15369

• myying/DART

  Data Assimilation Research Testbed

  Language:Fortran1

• NumericalEnvironmental/RBF-based_correlated_random_field_generator

  This is a streamlined python 3 script for generating spatially-correlated random fields in 2-D or 3-D using a radial basis function interpolator.

  Language:Python72

• NumericalEnvironmental/random_field

  Python-based script for generating realistic-looking correlated random fields in 2-D or 3-D; includes a tkinter-based user interface

  Language:Python63

• steidani/ConTrack

  Contour Tracking of circulation anomalies (atmospheric blocking, cyclones and anticyclones) in weather and climate data

  Language:Python6214

• alexarnimueller/som

  Self organizing Kohonen map in Python with periodic boundary conditions

  Language:Python13646

• navidcy/barotropic_QG

  Matlab code for solving the barotropic vorticity equation on a beta-plane

  Language:MATLAB4

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.7k1.1k

• julianmack/Data_Assimilation

  MSc Research project (6 months). Data Assimilation using Deep Learning (AEs). Imperial College Machine Learning MSc 2018-19

  Language:Python3621

• NCAR/DART

  Data Assimilation Research Testbed

  Language:Fortran196145

• lyeoni/pytorch-mnist-VAE

  Language:Jupyter Notebook10946

• chaitanya100100/VAE-for-Image-Generation

  Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets

  Language:Python12124

• hwalsuklee/tensorflow-mnist-VAE

  Tensorflow implementation of variational auto-encoder for MNIST

  Language:Python494182