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bald6354
@bald6354
Soheila(Soli)
@SoheilaMolaei
Lei Zhang
@leizhang-geo
Xiao Wang（王逍）
@wangxiao5791509
Joya Chen
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Top Repositories
Convolutional LSTM for Precipitation Nowcasting
Telegram 中文群组列表
广州市城市规划勘测设计研究院智慧规划师系统
Figures from Volume 1 of "Deep Learning - From Basics to Practice" by Andrew Glassner
中华人民共和国行政区划数据【省、市、区县、乡镇街道】中国省市区镇三级四级联动地址数据（GB/T 2260）
This repository contains some useful Arcpy snippets
科技爱好者周刊，每周五发布
The COVID-19 Epidemic Data Set provides data on the global multi-scale new coronavirus epidemic from 31st December 2019 to the end of the outbreak, and aims to provide authoritative, open and multi-scale new coronavirus (COVID-19) epidemic information for researchers. The COVID-19 epidemic dataset consists of three different scales, namely, the global scale, the national scale (provincial) and the national scale (the municipal). Among them, the epidemic attribute information includes global epidemic data, domestic epidemic data (provincial) and domestic epidemic data (local and municipal), each with 6 statistical texts: new confirmed cases, new cured cases, new deaths, total confirmed cases, total cured cases and total deaths. COVID-19疫情数据集提供自2019年12月31日至疫情结束逐日的全球多尺度新型冠状病毒疫情数据，旨在为广大科研工作者提供权威的、开放的和多尺度的新型冠状病毒（COVID-19）疫情信息。 COVID-19疫情数据集包括三种不同的尺度，即全球尺度、全国尺度（省级）和全国尺度（地级市）。其中，疫情属性信息包括全球疫情数据、国内疫情数据（省级）和国内疫情数据（地市级），每份数据含6个统计文本：新增确诊病例、新增治愈病例、新增死亡病例、总确诊病例、总治愈病例和总死亡病例。
A research project for text detection and recognition using PyTorch 1.2.
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