hybrid_autoregressive_inference | AAAI 2022 paper `` Hybrid Autoregressive Inference

 by   ai-systems Python Version: Current License: No License

kandi X-RAY | hybrid_autoregressive_inference Summary

kandi X-RAY | hybrid_autoregressive_inference Summary

hybrid_autoregressive_inference is a Python library. hybrid_autoregressive_inference has no bugs, it has no vulnerabilities and it has low support. However hybrid_autoregressive_inference build file is not available. You can download it from GitHub.

Code and data for the AAAI 2022 paper "Hybrid Autoregressive Inference for Scalable Multi-hop Explanation Regeneration"
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            kandi-support Support

              hybrid_autoregressive_inference has a low active ecosystem.
              It has 3 star(s) with 1 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 2 have been closed. On average issues are closed in 12 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of hybrid_autoregressive_inference is current.

            kandi-Quality Quality

              hybrid_autoregressive_inference has no bugs reported.

            kandi-Security Security

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

            kandi-License License

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

            kandi-Reuse Reuse

              hybrid_autoregressive_inference releases are not available. You will need to build from source code and install.
              hybrid_autoregressive_inference has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

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            hybrid_autoregressive_inference Key Features

            No Key Features are available at this moment for hybrid_autoregressive_inference.

            hybrid_autoregressive_inference Examples and Code Snippets

            No Code Snippets are available at this moment for hybrid_autoregressive_inference.

            Community Discussions

            No Community Discussions are available at this moment for hybrid_autoregressive_inference.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install hybrid_autoregressive_inference

            You can download it from GitHub.
            You can use hybrid_autoregressive_inference 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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          • HTTPS

            https://github.com/ai-systems/hybrid_autoregressive_inference.git

          • CLI

            gh repo clone ai-systems/hybrid_autoregressive_inference

          • sshUrl

            git@github.com:ai-systems/hybrid_autoregressive_inference.git

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