MNET-Cerebellum | MNET Cerebellum
kandi X-RAY | MNET-Cerebellum Summary
kandi X-RAY | MNET-Cerebellum Summary
MNET-Cerebellum is a Python library. MNET-Cerebellum has no bugs, it has no vulnerabilities and it has low support. However MNET-Cerebellum build file is not available. You can download it from GitHub.
MNET Cerebellum
MNET Cerebellum
Support
Quality
Security
License
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Support
MNET-Cerebellum has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
MNET-Cerebellum has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of MNET-Cerebellum is current.
Quality
MNET-Cerebellum has no bugs reported.
Security
MNET-Cerebellum has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
MNET-Cerebellum 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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MNET-Cerebellum releases are not available. You will need to build from source code and install.
MNET-Cerebellum 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 MNET-Cerebellum and discovered the below as its top functions. This is intended to give you an instant insight into MNET-Cerebellum implemented functionality, and help decide if they suit your requirements.
- Generate the network .
- Write a numpy array to disk
- Compute the dice coefficient between two images .
- Convert to categorical
- Convert a numpy array into a list of slices
- Computes the loss of the pixelwise crossentropy .
- Computes the dice coefficient between two arrays .
- Convert a list of segments to a list
- Compute the accuracy .
Get all kandi verified functions for this library.
MNET-Cerebellum Key Features
No Key Features are available at this moment for MNET-Cerebellum.
MNET-Cerebellum Examples and Code Snippets
No Code Snippets are available at this moment for MNET-Cerebellum.
Community Discussions
No Community Discussions are available at this moment for MNET-Cerebellum.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install MNET-Cerebellum
You can download it from GitHub.
You can use MNET-Cerebellum 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 MNET-Cerebellum 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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