kandi X-RAY | deep-learn Summary
kandi X-RAY | deep-learn Summary
deep-learn is a Java library. deep-learn has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
算法是程序的灵魂,deep-learn项目是对数据结构和算法知识体系的代码实现,包含数组、链表、队列、栈、哈希表、树、图、递归、查找、排序等数据结构知识,算法涵盖二分查找算法、分治算法、动态规划算法、KMP算法、贪心算法、普利姆算法、克鲁斯卡尔算法、迪杰斯特拉算法、弗洛伊德算法、马踏棋盘算法等等。
算法是程序的灵魂,deep-learn项目是对数据结构和算法知识体系的代码实现,包含数组、链表、队列、栈、哈希表、树、图、递归、查找、排序等数据结构知识,算法涵盖二分查找算法、分治算法、动态规划算法、KMP算法、贪心算法、普利姆算法、克鲁斯卡尔算法、迪杰斯特拉算法、弗洛伊德算法、马踏棋盘算法等等。
Support
Quality
Security
License
Reuse
Support
deep-learn has a low active ecosystem.
It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
deep-learn has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of deep-learn is current.
Quality
deep-learn has no bugs reported.
Security
deep-learn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
deep-learn is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
deep-learn releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed deep-learn and discovered the below as its top functions. This is intended to give you an instant insight into deep-learn implemented functionality, and help decide if they suit your requirements.
- Main entry point
- Revert a list
- Returns the last node in head index
- Reverse indentation
- Main function
- Add an item to the queue
- Show queue
- Get queue number
- Main script
- Delete the node at the given position
- Main entry point
- Calculates the difference between two numbers
- Main example
- List all stacks
- Calculate math
- Main example function
- Main function
- Update the hero node with the new node
- Delete the node from the head node
- This function is called by the main script
- This function is used for testing
- Generate a simple example
- This is the main function of the script
- This function is used for testing
- This function is called by the script
- Main entry point
Get all kandi verified functions for this library.
deep-learn Key Features
No Key Features are available at this moment for deep-learn.
deep-learn Examples and Code Snippets
No Code Snippets are available at this moment for deep-learn.
Community Discussions
No Community Discussions are available at this moment for deep-learn.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install deep-learn
You can download it from GitHub.
You can use deep-learn 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 deep-learn 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 deep-learn 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 deep-learn 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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