DNN-ECC | learning based soft-decoder for linear error correction
kandi X-RAY | DNN-ECC Summary
kandi X-RAY | DNN-ECC Summary
DNN-ECC is a Python library. DNN-ECC has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
Deep-learning based soft-decoder for linear error correction codes
Deep-learning based soft-decoder for linear error correction codes
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Security
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Support
DNN-ECC has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
DNN-ECC has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of DNN-ECC is current.
Quality
DNN-ECC has no bugs reported.
Security
DNN-ECC has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
DNN-ECC 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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DNN-ECC releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
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 DNN-ECC
DNN-ECC Key Features
No Key Features are available at this moment for DNN-ECC.
DNN-ECC Examples and Code Snippets
No Code Snippets are available at this moment for DNN-ECC.
Community Discussions
No Community Discussions are available at this moment for DNN-ECC.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install DNN-ECC
The code is implemented in Python and is primarily based on TensorFlow and Galois. The required packages are listed in the requirements.txt file. To install the dependencies, run the following command:.
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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