tftf | TensorFlow TransFormer | Machine Learning library

 by   yusugomori Python Version: 0.0.29 License: Apache-2.0

kandi X-RAY | tftf Summary

kandi X-RAY | tftf Summary

tftf is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Transformer applications. tftf has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install tftf' or download it from GitHub, PyPI.

TensorFlow TransFormer
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            kandi-support Support

              tftf has a low active ecosystem.
              It has 34 star(s) with 4 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              tftf has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of tftf is 0.0.29

            kandi-Quality Quality

              tftf has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              tftf is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              tftf releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              tftf saves you 1311 person hours of effort in developing the same functionality from scratch.
              It has 2942 lines of code, 225 functions and 94 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed tftf and discovered the below as its top functions. This is intended to give you an instant insight into tftf implemented functionality, and help decide if they suit your requirements.
            • Compute the loss function
            • Compute the metric
            • Called when a training epoch is reached
            • Evaluate the loss function
            • Load example
            • Construct a train and test dataset
            • Fits the word model
            • Create a list of sentences from a file
            • Compute the kernel matrix
            • Compile the model
            • V1 encoding
            • Pad a list of sequences
            • Load training and validation dataset
            • Load MNIST dataset
            • V1 layer
            • Bottleneck function
            • Sort a list of data
            • Prints the descriptions of the layers
            • Adds a layer to the graph
            • Creates a tf variable
            • Compile the kernel
            • Compute the loss of the crossentropy
            • Generate an orthogonal polynomial
            • Restore model variables
            • Saves the model to out_path
            • Return the l rate for a given epoch
            Get all kandi verified functions for this library.

            tftf Key Features

            No Key Features are available at this moment for tftf.

            tftf Examples and Code Snippets

            No Code Snippets are available at this moment for tftf.

            Community Discussions

            QUESTION

            pip search finds tensorflow, but pip install does not
            Asked 2020-Jan-23 at 06:55

            I am trying to build a Django app that would use Keras models to make recommendations. Right now I'm trying to use one custom container that would hold both Django and Keras. Here's the Dockerfile I've written.

            ...

            ANSWER

            Answered 2019-Jan-02 at 22:56

            It looks like tensorflow only publishes wheels (and only up to 3.6), and Alpine linux is not manylinux1-compatible due to its use of musl instead of glibc. Because of this, pip cannot find a suitable installation candidate and fails. Your best options are probably to build from source or change your base image.

            Source https://stackoverflow.com/questions/54014076

            QUESTION

            double for loop that doesn't result enough number of lines
            Asked 2017-Sep-13 at 12:58

            hello i'm new for python and have a little problem thank you in advance for solving this problem that i cannot understand :(

            here's two files that i want to print on python shell

            file 1 looks like this:

            ...

            ANSWER

            Answered 2017-Sep-13 at 12:16

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

            Vulnerabilities

            No vulnerabilities reported

            Install tftf

            Install TFTF from PyPI (recommended):.
            Install TFTF from PyPI (recommended):
            Alternatively: install TFTF from the GitHub source:

            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 .
            Find more information at:

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            Install
          • PyPI

            pip install tftf

          • CLONE
          • HTTPS

            https://github.com/yusugomori/tftf.git

          • CLI

            gh repo clone yusugomori/tftf

          • sshUrl

            git@github.com:yusugomori/tftf.git

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