Triton backend that enables pre-process, post-processing and other logic to be implemented in Python. Resources Readme License BSD-3-Clause license Activity Custom properties Stars 617 stars Watchers 15 w
Pre-processing:Easily add initial conditions, boundary conditions or other physical properties (e.g., porosity, permeability) using the convenient class toughio.Mesh, Import previous TOUGH simulation input file into Python or define simulation parameters in a human-readable and JSONable dictionary, ...
自然语言处理NLP(nature language processing),顾名思义,就是使用计算机对语言文字进行处理的相关技术以及应用。在对文本做数据分析时,我们一大半的时间都会花在文本预处理上,而中文和英文的预处理流程稍有不同,本文就对中、英文文本挖掘的常用的NLP的文本预处技术做一个总结。 文章内容主要按下图流程讲解: 图片来自...
一、文本数据预处理基本步骤(text dataset pre-processing) 1. 去除非文本部分 现象: HTML标签、表情符号 解决工具: regular expression、beautifulsoup 2. 拼写检查更正 现象: "I am verry happy" 解决工具: textblob 3. 分词 segmenting sentences in text: nltk.sent_tokenize() segmenting/tokenizing words in...
The PyProcar Python package plots the band structure and the Fermi surface as a function of site and/or s,p,d,f - projected wavefunctions obtained for each $k$-point in the Brillouin zone and band in an electronic structure calculation. This can be performed on top of any electronic ...
The steps to add the pre- and post-processing to thesuperresolutionmodel are in thePrepare the modelsection of the sample documentation. The python script that creates the updated model can be viewed atsuperresolution_e2e.py. The superresolution_e2e script is explained step-by-step onpytorch.or...
On top of that, the code was run in Google Colab with GPU hardware accelerator. The python code is here, and the data looks like this: Figure 2. News Category Dataset 2.1. Text data pre-processing The purpose of text data pre-processing is to remove all redundant information that might...
the DeepSeek-Coder-Base model. In particular, in the Math Reasoning and Natural Language categories,DeepSeekCoder-Base-v1.5significantly outperforms its predecessor across all benchmarks, which alsodemonstrates significant improvements in its mathematical reasoning and natural language processing capabilities...
in information density and often require lengthy analyses to separate the overlapping fluorescent spectra. Understanding and visualizing these large multi-dimensional datasets during acquisition and pre-processing can be challenging. Here we present Spectrally Encoded Enhanced Representations (SEER), an ...
and in what context each step might be employed; we do not attempt to define a standard but rather to increase awareness around the function of each possible pre-processing step and for which kinds of later analyses it may or may not be relevant. We then provide a sampling of pupil analys...