convoca | Predict and analyze cellular automata | Machine Learning library

 by   williamgilpin Python Version: Current License: No License

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.
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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.
              OutlinedDot
              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.

            kandi-Quality Quality

              convoca has 0 bugs and 0 code smells.

            kandi-Security 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.

            kandi-License License

              convoca does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              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

            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 17:21

            I would implement addLine function another way

            Take a look at the snippet.

            Source https://stackoverflow.com/questions/61840054

            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)

            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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            https://github.com/williamgilpin/convoca.git

          • CLI

            gh repo clone williamgilpin/convoca

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            git@github.com:williamgilpin/convoca.git

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