keras-language-modeling | : book : Some language modeling tools for Keras | Machine Learning library

 by   codekansas Python Version: Current License: MIT

kandi X-RAY | keras-language-modeling Summary

kandi X-RAY | keras-language-modeling Summary

keras-language-modeling is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras applications. keras-language-modeling has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However keras-language-modeling build file is not available. You can download it from GitHub.

:book: Some language modeling tools for Keras
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            kandi-support Support

              keras-language-modeling has a low active ecosystem.
              It has 665 star(s) with 180 fork(s). There are 41 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 29 open issues and 10 have been closed. On average issues are closed in 1 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of keras-language-modeling is current.

            kandi-Quality Quality

              keras-language-modeling has 0 bugs and 0 code smells.

            kandi-Security Security

              keras-language-modeling has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              keras-language-modeling code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              keras-language-modeling is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              keras-language-modeling releases are not available. You will need to build from source code and install.
              keras-language-modeling has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              keras-language-modeling saves you 224 person hours of effort in developing the same functionality from scratch.
              It has 547 lines of code, 46 functions and 4 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed keras-language-modeling and discovered the below as its top functions. This is intended to give you an instant insight into keras-language-modeling implemented functionality, and help decide if they suit your requirements.
            • Compute the score of each prediction
            • Return a dictionary of evaluation sets
            • Load a pickled file
            • Pads data to the answer
            • Train the model
            • Save the weights for the given epoch
            • Save weights to a file
            • Get the current time
            • Build the neural network
            • Get the answer
            • Call the layer
            • Get the constant weights
            • Builds the network
            • Build the graph
            • Build the embedding layer
            • Convert a list of words
            • Returns a dictionary mapping keys to lowercase
            • Load weights at epoch
            • Load weights from a file
            • Revert indices
            Get all kandi verified functions for this library.

            keras-language-modeling Key Features

            No Key Features are available at this moment for keras-language-modeling.

            keras-language-modeling Examples and Code Snippets

            No Code Snippets are available at this moment for keras-language-modeling.

            Community Discussions

            QUESTION

            Is there a way to use the native tf Attention layer with keras Sequential API?
            Asked 2020-Feb-09 at 08:50

            Is there a way to use the native tf Attention layer with keras Sequential API?

            I'm looking to use this particular class. I have found custom implementations such as this one. What I'm truly looking for is the use of this particular class with the Sequential API

            Here's a code example of what I'm looking for

            ...

            ANSWER

            Answered 2020-Feb-09 at 08:50

            I ended up using a custom class I found on this repository by tsterbak. It's the AttentionWeightedAverage class. It is compatible with the Sequential API Here's my model for reference :

            Source https://stackoverflow.com/questions/59312883

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

            Vulnerabilities

            No vulnerabilities reported

            Install keras-language-modeling

            Alternatively, I wrote a script to get started on a Google Cloud Platform instance (Ubuntu 16.04) which can be run via.

            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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