flynet | Official PyTorch implementation of paper A Hybrid | Machine Learning library
kandi X-RAY | flynet Summary
kandi X-RAY | flynet Summary
flynet is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. flynet has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However flynet build file is not available. You can download it from GitHub.
In this release, we provide an open source implementation of the FlyNet supervised learning experiments in A Hybrid Compact Neural Architecture for Visual Place Recognition, published in the IEEE Robotics and Automation Letters (RA-L) journal (DOI 10.1109/LRA.2020.2967324). Preprint version available at
In this release, we provide an open source implementation of the FlyNet supervised learning experiments in A Hybrid Compact Neural Architecture for Visual Place Recognition, published in the IEEE Robotics and Automation Letters (RA-L) journal (DOI 10.1109/LRA.2020.2967324). Preprint version available at
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flynet has a low active ecosystem.
It has 37 star(s) with 13 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 2 have been closed. On average issues are closed in 22 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of flynet is current.
Quality
flynet has 0 bugs and 0 code smells.
Security
flynet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
flynet code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
flynet is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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flynet releases are not available. You will need to build from source code and install.
flynet has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
flynet saves you 71 person hours of effort in developing the same functionality from scratch.
It has 185 lines of code, 10 functions and 2 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed flynet and discovered the below as its top functions. This is intended to give you an instant insight into flynet implemented functionality, and help decide if they suit your requirements.
- Forward a sequence of features
- Returns True iffna is greater than 1
- Evaluate the given model
- Get images from images
Get all kandi verified functions for this library.
flynet Key Features
No Key Features are available at this moment for flynet.
flynet Examples and Code Snippets
No Code Snippets are available at this moment for flynet.
Community Discussions
Trending Discussions on flynet
QUESTION
C# limit options of enum in a derived class
Asked 2017-Sep-14 at 11:21
So I'm trying to limit the options ,of an enum I declared in the base class, I can select in the derived class.
...ANSWER
Answered 2017-Sep-14 at 09:48I suggest using extension methods in order to hide options
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install flynet
You can download it from GitHub.
You can use flynet 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 flynet 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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