NLopt algorithms - NLopt Documentation - Read the Docs NLopt includes implementations of a number of different optimization algorithms These algorithms are listed below, including links to the original source code (if any) and citations to the relevant articles in the literature (see Citing NLopt) Even where I found available free open-source code for the various algorithms, I modified the code at least slightly (and in some cases noted below
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Tutorial on Text Pre-Processing for Education Language Data — edu . . . Some things to observe about the data… 💡 Note: edu-convokit cares about two key columns: a column for the speaker and a column for the text - In the TalkMoves dataset, the speaker is in the Speaker column and the text is in the Sentence column We can create two variables to store these column names as these will be used throughout the tutorial
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Tutorial on edu-convokit for the Amber dataset — edu-convokit 0. 1 . . . Tutorial on edu-convokit for the Amber dataset Welcome to the tutorial on edu-convokit for the Amber dataset This tutorial will walk you through the process of using edu-convokit to pre-process, annotate and analyze the Amber dataset If you are looking for a tutorial on the individual components of edu-convokit, please refer to the following tutorials to get started: