kandi X-RAY | MicroNetChallenge Summary
kandi X-RAY | MicroNetChallenge Summary
MicroNetChallenge is a Python library. MicroNetChallenge has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However MicroNetChallenge build file is not available. You can download it from GitHub.
MicroNetChallenge
MicroNetChallenge
Support
Quality
Security
License
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Support
MicroNetChallenge has a low active ecosystem.
It has 4 star(s) with 3 fork(s). There are 1 watchers for this library.
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 6 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of MicroNetChallenge is current.
Quality
MicroNetChallenge has no bugs reported.
Security
MicroNetChallenge has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
MicroNetChallenge 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
MicroNetChallenge releases are not available. You will need to build from source code and install.
MicroNetChallenge 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.
Top functions reviewed by kandi - BETA
kandi has reviewed MicroNetChallenge and discovered the below as its top functions. This is intended to give you an instant insight into MicroNetChallenge implemented functionality, and help decide if they suit your requirements.
- Main worker function .
- Train the model .
- Add GEMM .
- Forward convolutional convolution .
- Count convolutional linearadder .
- Count the number of convolutional linear gates .
- Count the number of convolutionaladder trees .
- Validate the evaluation function .
- The main function .
- Initialize circle detection .
Get all kandi verified functions for this library.
MicroNetChallenge Key Features
No Key Features are available at this moment for MicroNetChallenge.
MicroNetChallenge Examples and Code Snippets
No Code Snippets are available at this moment for MicroNetChallenge.
Community Discussions
No Community Discussions are available at this moment for MicroNetChallenge.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install MicroNetChallenge
You can download it from GitHub.
You can use MicroNetChallenge 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.
You can use MicroNetChallenge 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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