TensorFrames: Deep Learning with TensorFlow on Apache Spark (Tim Hunter)
Since the creation of Apache Spark, I/O throughput has increased at a faster pace than processing speed. In a lot of big data applications, the bottleneck is increasingly the CPU. With the release of Apache Spark 2.0 and Project Tungsten, Spark runs a number of control operations close to the metal. At the same time, there has been a surge of interest in using GPUs (the Graphics Processing Units o
GitHub - databricks/tensorframes: [DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark
Note: TensorFrames is deprecated. You can use pandas UDF instead. Experimental TensorFlow binding for Scala and Apache Spark. TensorFrames (TensorFlow on Spark DataFrames) lets you manipulate Apache Spark's DataFrames with TensorFlow programs. This package is experimental and is provided as a technical preview only. While the interfaces are all implemented and working, there are still some areas o
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TensorFrames: Google Tensorflow on Apache Spark
GPU Acceleration in Databricks
