deeplearning | 2 | Data Labeling library

 by   harishsdev Jupyter Notebook Version: Current License: No License

kandi X-RAY | deeplearning Summary

kandi X-RAY | deeplearning Summary

deeplearning is a Jupyter Notebook library typically used in Artificial Intelligence, Data Labeling applications. deeplearning has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

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              deeplearning has a low active ecosystem.
              It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              deeplearning has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of deeplearning is current.

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              deeplearning has no bugs reported.

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              deeplearning has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

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              deeplearning 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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              deeplearning releases are not available. You will need to build from source code and install.

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            deeplearning Key Features

            No Key Features are available at this moment for deeplearning.

            deeplearning Examples and Code Snippets

            No Code Snippets are available at this moment for deeplearning.

            Community Discussions

            QUESTION

            How can I do this split process in Python?
            Asked 2021-Dec-30 at 14:06

            I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

            What I've done so far is make this representation with the same enumerator class.

            A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?

            ...

            ANSWER

            Answered 2021-Dec-30 at 13:57

            Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:

            Source https://stackoverflow.com/questions/70532286

            QUESTION

            Replacing a character with a space and dividing the string into two words in R
            Asked 2020-Nov-18 at 07:32

            I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

            In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

            i have this:

            ...

            ANSWER

            Answered 2020-Nov-16 at 07:24

            QUESTION

            Azure ML FileDataset registers, but cannot be accessed for Data Labeling project
            Asked 2020-Oct-28 at 20:31

            Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

            Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

            Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.

            ...

            ANSWER

            Answered 2020-Oct-27 at 22:39

            Is the data behind virtual network by any chance?

            Source https://stackoverflow.com/questions/64546521

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

            Vulnerabilities

            No vulnerabilities reported

            Install deeplearning

            You can download it from GitHub.

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