ARAE_SMILES

 by   gicsaw Python Version: Current License: BSD-3-Clause

kandi X-RAY | ARAE_SMILES Summary

kandi X-RAY | ARAE_SMILES Summary

ARAE_SMILES is a Python library typically used in Manufacturing, Utilities, Machinery, Process applications. ARAE_SMILES has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However ARAE_SMILES build file is not available. You can download it from GitHub.

ARAE_SMILES
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            kandi-support Support

              ARAE_SMILES has a low active ecosystem.
              It has 16 star(s) with 2 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of ARAE_SMILES is current.

            kandi-Quality Quality

              ARAE_SMILES has no bugs reported.

            kandi-Security Security

              ARAE_SMILES has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              ARAE_SMILES is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              ARAE_SMILES releases are not available. You will need to build from source code and install.
              ARAE_SMILES has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ARAE_SMILES and discovered the below as its top functions. This is intended to give you an instant insight into ARAE_SMILES implemented functionality, and help decide if they suit your requirements.
            • Creates the network
            • Computes the discriminator
            • Generate tensorflow
            • Compute the total decoder
            • Transformer encoder
            • 2D convolutional layer
            • Transformer decoder
            • Transpose a tensor
            • Restore the ckpt_path
            • Convert a vector of characters to smiles
            • Assign the lr
            • Save model to ckpt_path
            • Generate latent vector
            • Generate a molecule
            • Train model
            • Calculate the accuracy between two sequences
            • Reads data from file
            • Runs the loss function
            • Recovers the sample vector
            • Convert input file to mol
            • Recover the given latent vector
            • Returns the decoder state
            Get all kandi verified functions for this library.

            ARAE_SMILES Key Features

            No Key Features are available at this moment for ARAE_SMILES.

            ARAE_SMILES Examples and Code Snippets

            No Code Snippets are available at this moment for ARAE_SMILES.

            Community Discussions

            No Community Discussions are available at this moment for ARAE_SMILES.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install ARAE_SMILES

            You can download it from GitHub.
            You can use ARAE_SMILES 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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            CLONE
          • HTTPS

            https://github.com/gicsaw/ARAE_SMILES.git

          • CLI

            gh repo clone gicsaw/ARAE_SMILES

          • sshUrl

            git@github.com:gicsaw/ARAE_SMILES.git

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