wqshen's Stars
srwi/EverythingToolbar
Everything integration for the Windows taskbar.
XPoet/picx
🏞️ PicX 是一款基于 GitHub API 开发的图床工具,提供图片上传托管、生成图片链接和常用图片工具箱服务。
wolny/pytorch-3dunet
3D U-Net model for volumetric semantic segmentation written in pytorch
VainF/pytorch-msssim
Fast and differentiable MS-SSIM and SSIM for pytorch.
NVIDIA/modulus
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
holoviz/geoviews
Simple, concise geographical visualization in Python
HongyangGao/Graph-U-Nets
Pytorch implementation of Graph U-Nets (ICML19)
Lornatang/SRGAN-PyTorch
A simple and complete implementation of super-resolution paper.
lucidrains/x-unet
Implementation of a U-net complete with efficient attention as well as the latest research findings
georgebv/pyextremes
Extreme Value Analysis (EVA) in Python
royalosyin/Python-Practical-Application-on-Climate-Variability-Studies
This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.
mmaelicke/scikit-gstat
Geostatistical variogram estimation expansion in the scipy style
NCAR/VAPOR
VAPOR is the Visualization and Analysis Platform for Ocean, Atmosphere, and Solar Researchers
pyqg/pyqg
Quasigeostrophic model in python
ErikKusch/KrigR
An R Package for downloading, preprocessing, and statistical downscaling of the European Centre for Medium-range Weather Forecasts ReAnalysis 5 (ERA5) family provided by the European Centre for Medium‐Range Weather Forecasts (ECMWF).
dgilford/tcpyPI
tcpyPI, aka "pyPI": Tropical Cyclone Potential Intensity Calculations in Python
xarray-contrib/cupy-xarray
Interface for using cupy in xarray, providing convenience accessors.
ZhaJiMan/frykit
A simple toolbox for drawing china map in Python
miniufo/xinvert
Invert geophysical fluid dynamic problems (elliptic partial differential equations) using SOR iteration method.
raspstephan/nwp-downscale
NCAR/rda-apps-clients
RDA apps clients. Subdirectories will be organized by language, e.g. python, perl, c++, bash
XiaoLinhong/uplandsue
更新WRF土地利用类型
ljharris23/public-downscaling-cgan
Clean, easier to use version of the downscaling cGAN
wqshen/AwxReader
NSMC Satellite Product Data Reader (AWX)
CAMS-AI/P-UNet_ODiceloss
A NWP precipitation bias correction model based on Unet
leobix/hurricast
formero009/huawei_note_downloader
华为备忘录下载到本地
zjobsdev/PyMDFS
高级的、易用的 Micaps 在线数据读取包
AugChiang/Climate-downscaling
Deep-learning Based Climate Downscaling of Precipitation Data
aim56009/Bias_GAN
Copy of Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models