Domain-Adaptations | Domain Adaptations for Video Recognition
kandi X-RAY | Domain-Adaptations Summary
kandi X-RAY | Domain-Adaptations Summary
Domain-Adaptations is a Python library. Domain-Adaptations has no bugs, it has no vulnerabilities and it has low support. However Domain-Adaptations build file is not available. You can download it from GitHub.
Somehow a python implementation of Four Domain Adaptation Approaches, where there a Matlab implementation.
Somehow a python implementation of Four Domain Adaptation Approaches, where there a Matlab implementation.
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Quality
Security
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Support
Domain-Adaptations has a low active ecosystem.
It has 12 star(s) with 3 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
Domain-Adaptations has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Domain-Adaptations is current.
Quality
Domain-Adaptations has 0 bugs and 0 code smells.
Security
Domain-Adaptations has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Domain-Adaptations code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Domain-Adaptations 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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Domain-Adaptations releases are not available. You will need to build from source code and install.
Domain-Adaptations 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 Domain-Adaptations and discovered the below as its top functions. This is intended to give you an instant insight into Domain-Adaptations implemented functionality, and help decide if they suit your requirements.
- Constructs a base classifier for the SVM .
- Constructs an adaptive kinematic model .
- Implementation of SVM .
- Run the AMKL algorithm .
- Runs the SVM .
- Run concept attribute .
- Train an AMK model .
- Runs the ASVM .
- Runs the SVM_T .
- Runs the SVM algorithm .
Get all kandi verified functions for this library.
Domain-Adaptations Key Features
No Key Features are available at this moment for Domain-Adaptations.
Domain-Adaptations Examples and Code Snippets
No Code Snippets are available at this moment for Domain-Adaptations.
Community Discussions
No Community Discussions are available at this moment for Domain-Adaptations.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Domain-Adaptations
You can download it from GitHub.
You can use Domain-Adaptations 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 Domain-Adaptations 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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