Elephas

Elephas preserves the familiar Keras API, allowing users to define and compile models as usual, then distribute training with minimal code changes, as shown in the basic Spark integration example.

Integrates with Spark RDDs, DataFrames, and MLlib, enabling deep learning within existing Spark pipelines, such as using the ElephasEstimator for Spark ML workflows.

Supports data-parallel training and distributed prediction/evaluation on large datasets, leveraging Spark's cluster capabilities for scalable deep learning without leaving the Keras framework.

Facilitates fast iteration on distributed models by maintaining Keras' simplicity, ideal for experimenting with large-scale deep learning in Spark environments.