TensorFlowOnSpark
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
Run TensorFlow programs on large clusters of computers to scale deep learning tasks easily.
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Free · no card · unsubscribe anytimeTensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
TensorFlowOnSpark has 3.8k stars on GitHub. It has been forked 939 times. TensorFlowOnSpark is written mainly in Python. It has been in active development since 2017. TensorFlowOnSpark is available under the Apache-2.0 license. Its main topics are cluster, featured, machine-learning, python.
What is TensorFlowOnSpark?
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
Is TensorFlowOnSpark open source?
TensorFlowOnSpark is an open-source project. It is released under the Apache-2.0 license.
Is TensorFlowOnSpark free?
Yes. TensorFlowOnSpark is free and open source — you can use, modify and self-host it.
What license does TensorFlowOnSpark use?
TensorFlowOnSpark is available under the Apache-2.0 license.
What language is TensorFlowOnSpark written in?
TensorFlowOnSpark is written mainly in Python.
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