ai-odsc-workshop-2019 | Materials for the workshop Applications of NLP | Awesome List library

 by   coursehero Jupyter Notebook Version: Current License: No License

kandi X-RAY | ai-odsc-workshop-2019 Summary

kandi X-RAY | ai-odsc-workshop-2019 Summary

ai-odsc-workshop-2019 is a Jupyter Notebook library typically used in Awesome, Awesome List applications. ai-odsc-workshop-2019 has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Materials for the workshop "Applications of NLP in EdTech" at Open Data Science Conference (West), 2019.
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              ai-odsc-workshop-2019 has a low active ecosystem.
              It has 14 star(s) with 12 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              ai-odsc-workshop-2019 has no issues reported. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ai-odsc-workshop-2019 is current.

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              ai-odsc-workshop-2019 has no bugs reported.

            kandi-Security Security

              ai-odsc-workshop-2019 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              ai-odsc-workshop-2019 does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              ai-odsc-workshop-2019 releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            ai-odsc-workshop-2019 Key Features

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            ai-odsc-workshop-2019 Examples and Code Snippets

            No Code Snippets are available at this moment for ai-odsc-workshop-2019.

            Community Discussions

            QUESTION

            Is ESLint a Vim plugin?
            Asked 2022-Feb-12 at 01:35

            Vim Awesome lists ESLint as a plugin: https://vimawesome.com/plugin/eslint. However, also on that page it says "...your plugins (and ESLint) are ..." implying ESLint is not a Vim plugin.

            I am trying to work out how to apply ESLint to JavaScript files I am writing in Vim. I would like to do so (at least initially) without any plugins. I think it might help me to achieve this if I knew whether or not ESLint is a Vim plugin or not.

            ...

            ANSWER

            Answered 2022-Feb-12 at 01:35

            No. It is a general linter for javascript. See https://eslint.org/

            If you want to use ESLint in Vim, you can use a vim plugin (such as ALE or the eslint vim plugin) to help you. Or you can use the command line interface eslint offers if you don't want to use plugins.

            Source https://stackoverflow.com/questions/71087803

            QUESTION

            R Extending each list level by new elements
            Asked 2021-Apr-12 at 14:41

            I'm looking for a way to automatically add new list elements/levels to an existing list:

            • my real-life use case has several thousand elements to add, so the manual example below for adding two elements is not feasible anymore,
            • I need a list because that's the format expected by an API I'm trying to access.

            Example:

            ...

            ANSWER

            Answered 2021-Apr-12 at 14:41

            Iterate over names using map or using the same arguments replace map with lapply in which case no packages are needed.

            Source https://stackoverflow.com/questions/67060194

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install ai-odsc-workshop-2019

            We strongly recommend that you use a virtual environment to avoid dependency/version conflicts.
            Python 3.x
            We strongly recommend that you use a virtual environment to avoid dependency/version conflicts.
            If you use conda, you can use the following commands to create a new environment for this workshop:
            If not, just run pip install -r requirements.txt.
            Optionally, run the following command to install the WordNet data (If you don't run this, it will be downloaded in the notebook): Download WordNet data from NLTK: python -c "import nltk;nltk.download('wordnet')"

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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