lifeomic/sparkflow

This is an implementation of Tensorflow on Spark. The goal of this library is to provide a simple, understandable interface in using Tensorflow on Spark. With SparkFlow, you can easily integrate your deep learning model with a ML Spark Pipeline. Underneath, SparkFlow uses a parameter server to train the Tensorflow network in a distributed manor. Through the api, the user can specify the style of training, whether that is Hogwild or async with locking.