使用python 3的简单搜索引擎 这个小型项目将使用Vector Space Model实现一个简单的搜索引擎。 数据将从越南每日新闻如被抓取 ，， 和。 工具 如果未安装，请安装和 。 使用pip安装以下软件包： （用于发出HTTP请求）。 （越南NLP工具包）。 （用于解析HTML和XML）。 $ pip install requests underthesea beautifulsoup4 （可选）安装pytest来运行单元测试： $ pip install pytest $ cd /path/to/project $ pytest 安装并将该项目克隆到本地计算机中： $ git clone https://github.com/vancanhuit/simple-search-engine.git $ cd simple-search-engine 注意：如果

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a model of the pantograph arc impedance for 50hz catenary voltage

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This is the "Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation" (referred to as LGIF model) of the MATLAB source code. LGIF model is very important to local area active contour model, which combines the CV model and the merits of LBF model.

Programming the Microsoft Windows driver model(中文版)+随书光盘

BSM模型 这个简单的Python包使用Black-Scholes-Merton（BSM）模型来计算选项的一些基本统计信息。 它可以用来估计隐含波动率，希腊货币（delta，gemma，theta，vega，rho）和期权的价格。 安装 pip install bsm-model 进口 from bsm_model import BSM 创建一个选项 我们可以创建BSM类的实例： random_option = BSM(S, K, r, T, P, option_type) 可用的参数包括 S是标的资产的价格。 K是行使价。 r是无风险利率。 T是直到到期的天数。 Calculation_date是您希望计算表示的日期。 您不能与T同时使用。 expiration_date是选项的到期日期。 您不能与T同时使用。 P是期权的价格。 q是连续股息收益率。 optio

注意力机制使用；卷积神经网络的变体keras实现

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