Inclusive-Image-Challenge-Winning-Solution | repo documents the code to reproduce team
kandi X-RAY | Inclusive-Image-Challenge-Winning-Solution Summary
kandi X-RAY | Inclusive-Image-Challenge-Winning-Solution Summary
Inclusive-Image-Challenge-Winning-Solution is a Python library. Inclusive-Image-Challenge-Winning-Solution has no bugs, it has no vulnerabilities and it has low support. However Inclusive-Image-Challenge-Winning-Solution build file is not available. You can download it from GitHub.
Inclusive-Image-Challenge-Winning-Solution
Inclusive-Image-Challenge-Winning-Solution
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Support
Inclusive-Image-Challenge-Winning-Solution has a low active ecosystem.
It has 17 star(s) with 1 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
Inclusive-Image-Challenge-Winning-Solution has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Inclusive-Image-Challenge-Winning-Solution is current.
Quality
Inclusive-Image-Challenge-Winning-Solution has 0 bugs and 0 code smells.
Security
Inclusive-Image-Challenge-Winning-Solution has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Inclusive-Image-Challenge-Winning-Solution code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Inclusive-Image-Challenge-Winning-Solution 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.
Reuse
Inclusive-Image-Challenge-Winning-Solution releases are not available. You will need to build from source code and install.
Inclusive-Image-Challenge-Winning-Solution has no build file. You will be need to create the build yourself to build the component from source.
Inclusive-Image-Challenge-Winning-Solution saves you 2979 person hours of effort in developing the same functionality from scratch.
It has 6428 lines of code, 281 functions and 35 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Inclusive-Image-Challenge-Winning-Solution and discovered the below as its top functions. This is intended to give you an instant insight into Inclusive-Image-Challenge-Winning-Solution implemented functionality, and help decide if they suit your requirements.
- Train a single model .
- Prints the distribution of the prediction .
- Generate a random transformation
- Retrieve a dictionary of examples for images .
- Retrieve train validation and validation files .
- Tune the thresholds validation .
- Process TST images .
- Reduce a keras model .
- Retrieves the classification for images in images_dict
- Optimizes a convolution block norm .
Get all kandi verified functions for this library.
Inclusive-Image-Challenge-Winning-Solution Key Features
No Key Features are available at this moment for Inclusive-Image-Challenge-Winning-Solution.
Inclusive-Image-Challenge-Winning-Solution Examples and Code Snippets
No Code Snippets are available at this moment for Inclusive-Image-Challenge-Winning-Solution.
Community Discussions
No Community Discussions are available at this moment for Inclusive-Image-Challenge-Winning-Solution.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Inclusive-Image-Challenge-Winning-Solution
You can download it from GitHub.
You can use Inclusive-Image-Challenge-Winning-Solution 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 Inclusive-Image-Challenge-Winning-Solution 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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