devol | Genetic neural architecture search with Keras | Machine Learning library
kandi X-RAY | devol Summary
kandi X-RAY | devol Summary
devol is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras applications. devol has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.
DEvol (DeepEvolution) is a basic proof of concept for genetic architecture search in Keras. The current setup is designed for classification problems, though this could be extended to include any other output type as well. See example/demo.ipynb for a simple example.
DEvol (DeepEvolution) is a basic proof of concept for genetic architecture search in Keras. The current setup is designed for classification problems, though this could be extended to include any other output type as well. See example/demo.ipynb for a simple example.
Support
Quality
Security
License
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Support
devol has a medium active ecosystem.
It has 931 star(s) with 120 fork(s). There are 46 watchers for this library.
It had no major release in the last 6 months.
There are 7 open issues and 20 have been closed. On average issues are closed in 9 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of devol is current.
Quality
devol has 0 bugs and 0 code smells.
Security
devol has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
devol code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
devol 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
devol 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.
devol saves you 175 person hours of effort in developing the same functionality from scratch.
It has 433 lines of code, 27 functions and 5 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed devol and discovered the below as its top functions. This is intended to give you an instant insight into devol implemented functionality, and help decide if they suit your requirements.
- Run the optimizer
- Evaluate the model
- Calculates the loss and accuracy for a given model
- Evaluate a population
- Decode the best genome
- Get the genome from a csv file
Get all kandi verified functions for this library.
devol Key Features
No Key Features are available at this moment for devol.
devol Examples and Code Snippets
No Code Snippets are available at this moment for devol.
Community Discussions
Trending Discussions on devol
QUESTION
filter list of objects mongodb in query with a property
Asked 2021-Jan-31 at 23:11
I am using angular,nodejs,mongodb and mongoose-paginate-v2 and mongoose libraries.
I need to filter the list of rooms by availability property.
hoe.component.ts
...ANSWER
Answered 2021-Jan-31 at 23:03I hope I am not missing something. As stated in https://www.npmjs.com/package/mongoose-paginate-v2
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install devol
You can download it from GitHub.
You can use devol 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 devol 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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