kandi X-RAY | tf-best-practice Summary
kandi X-RAY | tf-best-practice Summary
tf-best-practice is a Python library. tf-best-practice has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
tf-best-practice
tf-best-practice
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Quality
Security
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Support
tf-best-practice has a low active ecosystem.
It has 25 star(s) with 4 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
tf-best-practice has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of tf-best-practice is current.
Quality
tf-best-practice has 0 bugs and 0 code smells.
Security
tf-best-practice has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
tf-best-practice code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
tf-best-practice 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
tf-best-practice 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.
tf-best-practice saves you 180 person hours of effort in developing the same functionality from scratch.
It has 446 lines of code, 36 functions and 11 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed tf-best-practice and discovered the below as its top functions. This is intended to give you an instant insight into tf-best-practice implemented functionality, and help decide if they suit your requirements.
- Get the last output of a DRNN layer
- Build an RNN layer
- Perform multi - layer DRNN
- Create a logger
- Create a file
- Parse CLI arguments
- Parse argument
- Decode a list of predictions
- Return input function for mode
- Parse arguments
Get all kandi verified functions for this library.
tf-best-practice Key Features
No Key Features are available at this moment for tf-best-practice.
tf-best-practice Examples and Code Snippets
No Code Snippets are available at this moment for tf-best-practice.
Community Discussions
No Community Discussions are available at this moment for tf-best-practice.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install tf-best-practice
You can download it from GitHub.
You can use tf-best-practice 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 tf-best-practice 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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