wqshen

wqshen

Geek Repo

Location:Hangzhou

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Organizations
WCHAR-NCL
zjobsdev

wqshen's repositories

awesome-wechat-weapp

微信小程序开发资源汇总 :100:

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rainnet

RainNet: a convolutional neural network for radar-based precipitation nowcasting

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container-dtc-nwp

End-to-end NWP systems in containers.

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PyCINRAD

CINRAD雷达基数据处理

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pymica

(py)Meteorological variable Interpolation based on Clustered Analysis

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pysal

PySAL: Python Spatial Analysis Library

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eccodes_supply_definitions

eccodes补充grib定义

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cfgrib

A Python interface to map GRIB files to the NetCDF Common Data Model following the CF Convention using ecCodes

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pygrib

Python interface for reading and writing GRIB data

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cmaps

user defined colormaps in matplotlib.

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SRCNN-pytorch

PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)

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geoconda3

Dockerfile for wqshen/geoconda3

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docker-alpine-miniconda3

The smallest Docker image with Miniconda3 (Python 3.7) (~143MB)

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Matplotlib-3.0-Cookbook

Matplotlib 3.0 Cookbook, published by Packt

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PrecipitationPrediction

Existing precipitation prediction models have high error rates. The goal of this research is to reduce the error rates of the existing prediction models. An ensemble approach has been proposed to develop a New Aggregated Model to predict precipitation based on the dataset of some existing prediction models. This is a part of my master's thesis project.

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MeteoInfoLib

MeteoInfo Library

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sphinx-gallery

Sphinx extension for automatic generation of an example gallery

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pysplit

A package for HYSPLIT air parcel trajectory analysis.

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WeatherRadar

天气雷达学习笔记

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T_InP

T-logP图的应用教程

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esmpy-tutorial

Basic tutorial for ESMPy Python package

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pyart

The Python-ARM Radar Toolkit. A data model driven interactive toolkit for working with weather radar data.

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sphinx_rtd_theme

Sphinx theme for readthedocs.org

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retrying

Retrying is an Apache 2.0 licensed general-purpose retrying library, written in Python, to simplify the task of adding retry behavior to just about anything.

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pyKriging

Welcome to the User Friendly Python Kriging Toolbox!

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