uoptim | Universal gradient descent optimizer for PyTorch
kandi X-RAY | uoptim Summary
kandi X-RAY | uoptim Summary
uoptim is a Jupyter Notebook library. uoptim has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
Universal gradient descent optimizer for PyTorch
Universal gradient descent optimizer for PyTorch
Support
Quality
Security
License
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Support
uoptim has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 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 uoptim is current.
Quality
uoptim has no bugs reported.
Security
uoptim has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
uoptim is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
uoptim releases are not available. You will need to build from source code and install.
Installation instructions are available. Examples and code snippets are not available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of uoptim
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of uoptim
uoptim Key Features
No Key Features are available at this moment for uoptim.
uoptim Examples and Code Snippets
No Code Snippets are available at this moment for uoptim.
Community Discussions
No Community Discussions are available at this moment for uoptim.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install uoptim
Copy script in the directory of your project.
Copy script in the directory of your project
To use the extension:
Copy script in the directory of your project
To use the extension:
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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