NJU-AI-IntroAI | 2020 Fall 2020 Nanjing University Introduction
kandi X-RAY | NJU-AI-IntroAI Summary
kandi X-RAY | NJU-AI-IntroAI Summary
NJU-AI-IntroAI is a Java library. NJU-AI-IntroAI has no bugs, it has no vulnerabilities and it has low support. However NJU-AI-IntroAI build file is not available. You can download it from GitHub.
2020 Fall 2020 Nanjing University Introduction to Artificial Intelligence Course Assignment
2020 Fall 2020 Nanjing University Introduction to Artificial Intelligence Course Assignment
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Quality
Security
License
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Support
NJU-AI-IntroAI has a low active ecosystem.
It has 12 star(s) with 6 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
NJU-AI-IntroAI has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of NJU-AI-IntroAI is current.
Quality
NJU-AI-IntroAI has no bugs reported.
Security
NJU-AI-IntroAI has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
NJU-AI-IntroAI does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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NJU-AI-IntroAI releases are not available. You will need to build from source code and install.
NJU-AI-IntroAI 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 NJU-AI-IntroAI and discovered the below as its top functions. This is intended to give you an instant insight into NJU-AI-IntroAI implemented functionality, and help decide if they suit your requirements.
- Handle event handling .
- Get the difference between two players
- Generate the level of a game .
- Performs an iterative action on a state .
- Parses sprites .
- Calculates the best fitness .
- Parse the parameters from the content .
- Runs a game .
- Evaluate and return the minimum distance .
- Removes undefined objects from the game .
Get all kandi verified functions for this library.
NJU-AI-IntroAI Key Features
No Key Features are available at this moment for NJU-AI-IntroAI.
NJU-AI-IntroAI Examples and Code Snippets
No Code Snippets are available at this moment for NJU-AI-IntroAI.
Community Discussions
No Community Discussions are available at this moment for NJU-AI-IntroAI.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install NJU-AI-IntroAI
You can download it from GitHub.
You can use NJU-AI-IntroAI like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the NJU-AI-IntroAI component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
You can use NJU-AI-IntroAI like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the NJU-AI-IntroAI component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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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