h-DQN | in Python | Natural Language Processing library

 by   EdenMacdonald Python Version: Current License: MIT

kandi X-RAY | h-DQN Summary

kandi X-RAY | h-DQN Summary

h-DQN is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Pytorch, Numpy applications. h-DQN has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However h-DQN build file is not available. You can download it from GitHub.

Reproduction of Kulkarni et al. (2016) in Python
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              h-DQN has a low active ecosystem.
              It has 107 star(s) with 32 fork(s). There are 16 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 4 open issues and 1 have been closed. On average issues are closed in 289 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of h-DQN is current.

            kandi-Quality Quality

              h-DQN has no bugs reported.

            kandi-Security Security

              h-DQN has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              h-DQN is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

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              h-DQN releases are not available. You will need to build from source code and install.
              h-DQN has no build file. You will be need to create the build yourself to build the component from source.

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            h-DQN Key Features

            No Key Features are available at this moment for h-DQN.

            h-DQN Examples and Code Snippets

            No Code Snippets are available at this moment for h-DQN.

            Community Discussions

            QUESTION

            What does the gather function do in pytorch in layman terms?
            Asked 2020-Apr-18 at 03:43

            I have been through the official doc and this but it is hard to understand what is going on.

            I am trying to understand a DQN source code and it uses the gather function on line 197.

            Could someone explain in simple terms what the gather function does? What is the purpose of that function?

            ...

            ANSWER

            Answered 2018-Jun-25 at 21:40

            The torch.gather function (or torch.Tensor.gather) is a multi-index selection method. Look at the following example from the official docs:

            Source https://stackoverflow.com/questions/50999977

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

            Vulnerabilities

            No vulnerabilities reported

            Install h-DQN

            You can download it from GitHub.
            You can use h-DQN like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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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            gh repo clone EdenMacdonald/h-DQN

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