Lycoris | use deep learning framework with neural architecture search | Machine Learning library
kandi X-RAY | Lycoris Summary
kandi X-RAY | Lycoris Summary
Lycoris is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. Lycoris has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. You can download it from GitHub.
Lycoris is a lightweight and easy-to-use deep learning framework with neural architecture search. Lycoris aims to provide developers with an automated service for end-to-end neural network architecture search, enabling developers to obtain better models with fewer hyperparameter configurations. For more detailed usage of Lycoris, please refer to related documents. At this stage, Lycoris enables you to deploy computation to one or more CPUs in most operating systems. In the future, GPUs will be added to the minimalist architecture.
Lycoris is a lightweight and easy-to-use deep learning framework with neural architecture search. Lycoris aims to provide developers with an automated service for end-to-end neural network architecture search, enabling developers to obtain better models with fewer hyperparameter configurations. For more detailed usage of Lycoris, please refer to related documents. At this stage, Lycoris enables you to deploy computation to one or more CPUs in most operating systems. In the future, GPUs will be added to the minimalist architecture.
Support
Quality
Security
License
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Support
Lycoris has a low active ecosystem.
It has 178 star(s) with 2 fork(s). There are 1 watchers for this library.
It had no major release in the last 12 months.
There are 1 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Lycoris is v2.10.36
Quality
Lycoris has 0 bugs and 0 code smells.
Security
Lycoris has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Lycoris code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Lycoris is licensed under the LGPL-3.0 License. This license is Weak Copyleft.
Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.
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Lycoris releases are available to install and integrate.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Lycoris
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Lycoris
Lycoris Key Features
No Key Features are available at this moment for Lycoris.
Lycoris Examples and Code Snippets
No Code Snippets are available at this moment for Lycoris.
Community Discussions
Trending Discussions on Lycoris
QUESTION
Getting text value of a HTML tag through Selenium Web Automation in Python?
Asked 2020-Oct-26 at 07:54
I am making a reddit bot that will look for certain attributes in comments, use selenium to visit the information website, and use driver.find_element_by...
to get the value inside that tag, but it is not working.
When I use driver.find_element_by_class_name()
, this is the data returned:
ANSWER
Answered 2020-Oct-26 at 07:54Use .text
:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Lycoris
The Python bindings of the code are based on Pybind11. (If pybind11 and its header files are already installed, you can ignore the above steps.).
C++ version:
Python bindings:
C++ version:
Python bindings:
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 .
Find more information at:
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