Neural-Style-Transfer | Keras Implementation of Neural Style Transfer | Machine Learning library
kandi X-RAY | Neural-Style-Transfer Summary
kandi X-RAY | Neural-Style-Transfer Summary
Neural-Style-Transfer is a Jupyter Notebook library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. Neural-Style-Transfer has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.
Implementation of Neural Style Transfer from the paper A Neural Algorithm of Artistic Style in Keras 2.0+. INetwork implements and focuses on certain improvements suggested in Improving the Neural Algorithm of Artistic Style. Color Preservation is based on the paper Preserving Color in Neural Artistic Style Transfer. Masked Style Transfer is based on the paper Show, Divide and Neural: Weighted Style Transfer.
Implementation of Neural Style Transfer from the paper A Neural Algorithm of Artistic Style in Keras 2.0+. INetwork implements and focuses on certain improvements suggested in Improving the Neural Algorithm of Artistic Style. Color Preservation is based on the paper Preserving Color in Neural Artistic Style Transfer. Masked Style Transfer is based on the paper Show, Divide and Neural: Weighted Style Transfer.
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Neural-Style-Transfer has a medium active ecosystem.
It has 2215 star(s) with 484 fork(s). There are 68 watchers for this library.
It had no major release in the last 12 months.
There are 14 open issues and 54 have been closed. On average issues are closed in 36 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Neural-Style-Transfer is 0.2.7.5
Quality
Neural-Style-Transfer has 0 bugs and 0 code smells.
Security
Neural-Style-Transfer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Neural-Style-Transfer code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Neural-Style-Transfer 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.
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Neural-Style-Transfer releases are available to install and integrate.
Installation instructions are not available. Examples and code snippets are available.
It has 13039 lines of code, 189 functions and 16 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Neural-Style-Transfer
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Neural-Style-Transfer
Neural-Style-Transfer Key Features
No Key Features are available at this moment for Neural-Style-Transfer.
Neural-Style-Transfer Examples and Code Snippets
No Code Snippets are available at this moment for Neural-Style-Transfer.
Community Discussions
Trending Discussions on Neural-Style-Transfer
QUESTION
How can I replace the first element of an HTML string with an h1?
Asked 2020-Jun-30 at 13:47
I have some HTML:
...ANSWER
Answered 2020-Jun-30 at 13:47Try this:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Neural-Style-Transfer
You can download it from GitHub.
Support
This codebase can now be run directly from colaboratory using the following link, or by opening NeuralStyleTransfer.ipynb and visiting the Colab link. Colab link supports almost all of the additional arguments, except of the masking ones. They will probably be added at a later date. NOTE : Make sure you use a GPU in Colab or else the notebook will fail. To change Runtimes : Runtime -> Change Runtime type ->. Here select Python 3 and GPU as the hardware accelerator.
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