wqshen's starred repositories
EverythingToolbar
Everything integration for the Windows taskbar.
pytorch-3dunet
3D U-Net model for volumetric semantic segmentation written in pytorch
pytorch-msssim
Fast and differentiable MS-SSIM and SSIM for pytorch.
Graph-U-Nets
Pytorch implementation of Graph U-Nets (ICML19)
SRGAN-PyTorch
A simple and complete implementation of super-resolution paper.
pyextremes
Extreme Value Analysis (EVA) in Python
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.
scikit-gstat
Geostatistical variogram estimation expansion in the scipy style
cupy-xarray
Interface for using cupy in xarray, providing convenience accessors.
rda-apps-clients
RDA apps clients. Subdirectories will be organized by language, e.g. python, perl, c++, bash
public-downscaling-cgan
Clean, easier to use version of the downscaling cGAN
P-UNet_ODiceloss
A NWP precipitation bias correction model based on Unet
huawei_note_downloader
华为备忘录下载到本地
Climate-downscaling
Deep-learning Based Climate Downscaling of Precipitation Data