AI-course-project | 4 projects : GobangAI , Capacitated Arc Routing Problem

 by   zh-plus Python Version: Current License: No License

kandi X-RAY | AI-course-project Summary

kandi X-RAY | AI-course-project Summary

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

4 projects: GobangAI, Capacitated Arc Routing Problem, Influence Maximization Problem and SVM optimization.
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              AI-course-project has a low active ecosystem.
              It has 9 star(s) with 3 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              AI-course-project has no issues reported. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of AI-course-project is current.

            kandi-Quality Quality

              AI-course-project has no bugs reported.

            kandi-Security Security

              AI-course-project has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              AI-course-project 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.

            kandi-Reuse Reuse

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

            Top functions reviewed by kandi - BETA

            kandi has reviewed AI-course-project and discovered the below as its top functions. This is intended to give you an instant insight into AI-course-project implemented functionality, and help decide if they suit your requirements.
            • Performs an alphabet search .
            • Swaps the solution
            • Second order step .
            • Checking each line in the record .
            • Compute the celf algorithm
            • Run the CARP algorithm .
            • check code
            • Return the number of nodes in the tree .
            • Generate a solution from routes .
            • Fast search method .
            Get all kandi verified functions for this library.

            AI-course-project Key Features

            No Key Features are available at this moment for AI-course-project.

            AI-course-project Examples and Code Snippets

            No Code Snippets are available at this moment for AI-course-project.

            Community Discussions

            No Community Discussions are available at this moment for AI-course-project.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install AI-course-project

            You can download it from GitHub.
            You can use AI-course-project 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

            Optimize SVM parameters using Sequential Minimal Optimization (SMO)
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            CLONE
          • HTTPS

            https://github.com/zh-plus/AI-course-project.git

          • CLI

            gh repo clone zh-plus/AI-course-project

          • sshUrl

            git@github.com:zh-plus/AI-course-project.git

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