convoca | Predict and analyze cellular automata | Machine Learning library
kandi X-RAY | convoca Summary
kandi X-RAY | convoca Summary
convoca is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. convoca has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
Demonstrate and learn cellular automata using convolutional neural networks in TensorFlow.
Demonstrate and learn cellular automata using convolutional neural networks in TensorFlow.
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convoca has a low active ecosystem.
It has 50 star(s) with 16 fork(s). There are 8 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 1 have been closed. On average issues are closed in 334 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of convoca is current.
Quality
convoca has 0 bugs and 0 code smells.
Security
convoca has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
convoca code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
convoca 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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convoca 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.
convoca saves you 328 person hours of effort in developing the same functionality from scratch.
It has 786 lines of code, 70 functions and 8 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed convoca and discovered the below as its top functions. This is intended to give you an instant insight into convoca implemented functionality, and help decide if they suit your requirements.
- Generate a CA function
- Performs periodic padding
- Convert to float32
- Make a game of life
- Compute features from training data
- Convolutional layer
- Compute the Shannon Entropy
- Concatenate images in image stack
- Calculates the layer entropy of each feature
- Compute Shannon Entropy
- Load a ca
- Convolution layer
- Make circular filters
- Make square filters
- Apply periodic padding
Get all kandi verified functions for this library.
convoca Key Features
No Key Features are available at this moment for convoca.
convoca Examples and Code Snippets
No Code Snippets are available at this moment for convoca.
Community Discussions
Trending Discussions on convoca
QUESTION
React - Render Component between two existing ones
Asked 2020-May-16 at 17:21
I am pretty new on using React, what i'm trying to build is a dynamic form in which user can add/remove fields, the problems come when rendering after a row (field) is added
Here is my Row Component, which I use as a template to fill by props
...ANSWER
Answered 2020-May-16 at 17:21I would implement addLine
function another way
Take a look at the snippet.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install convoca
Install directly from GitHub using. Typical installation with Miniconda. This code has been tested on macOS and Ubuntu.
Python >3.4
TensorFlow >2.0
numpy
matplotlib
Jupyter notebooks (for demos)
Python >3.4
TensorFlow >2.0
numpy
matplotlib
Jupyter notebooks (for demos)
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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