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Class based ML code in the Browser - A KotlinJS wrapper for the wonderful TensorFlow.js library.

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TensorFlow.kt

Class based ML code in the Browser - A KotlinJS wrapper for the wonderful TensorFlow.js library.

Base library: https://www.tensorflow.org/js

Getting Started

Development

You can explore the TensorFlow-kt code either by browsing this repo or cloning from source:

git clone https://github.com/fortytwoapps/tfkt.git

Installing

To setup TensorFlow-kt and start using it in your project, add these lines to build.gradle:

repositories {
    maven { url = "https://dl.bintray.com/robert-cronin/fortytwoapps" }
}

dependencies {
    implementation "fortytwoapps:tfkt:1.5.1"
}

Usage

To start using TensorFlow-kt in your project, simply import like this:

import com.fortytwoapps.tfkt.tensors.*

Note: only tensors are available so far, methods for the rest of the library will be added soon.

Built With

Contributing

Feel free to contribute if you feel this toolkit is lacking for your application. Contributions are open.

Authors

License

This project is licensed under the Apache 2.0 License - see the LICENSE.md file for details

Acknowledgments

  • Hat tip goes to developers at Google for developing the JavaScript TensorFlow Library
  • Template for this readme came from PurpleBooth

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Class based ML code in the Browser - A KotlinJS wrapper for the wonderful TensorFlow.js library.

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