H2O alternatives and related libraries

Based on the "Machine Learning" category

• Apache Spark

  9.9 9.9 H2O VS Apache Spark

  Data analytics cluster computing framework.

• Deeplearning4j

  9.7 4.8 L1 H2O VS Deeplearning4j

  Distributed and multi-threaded deep learning library.

• Apache Hadoop

  9.7 9.9 L1 H2O VS Apache Hadoop

  Storage and large-scale processing of data-sets on clusters of commodity hardware.

• Apache Flink

  9.6 9.9 L2 H2O VS Apache Flink

  Fast and reliable large-scale data processing engine.

• Smile

  8.7 7.3 L2 H2O VS Smile

  The Statistical Machine Intelligence and Learning Engine provides a set of machine learning algorithms and a visualization library.

• Apache Mahout

  8.1 8.3 L3 H2O VS Apache Mahout

  Scalable algorithms focused on collaborative filtering, clustering and classification.

• DeepDive

  7.5 0.0 H2O VS DeepDive

  Creates structured information from unstructured data and integrates it into an existing database.

• Oryx 2

  7.4 5.4 L4 H2O VS Oryx 2

  A framework for building real-time large scale machine learning applications, which also includes end-to-end applications for collaborative filtering, classification, regression, and clustering.

• Porcupine  

  6.8 6.8 H2O VS Porcupine  

  On-device wake word detection engine powered by deep learning.

• DatumBox

  6.6 3.7 L3 H2O VS DatumBox

  Provides several algorithms and pre-trained models for natural language processing.

• JSAT

  5.5 6.7 L2 H2O VS JSAT

  Algorithms for pre-processing, classification, regression, and clustering with support for multi-threaded execution.

• Weka

  4.9 8.2 H2O VS Weka

  Collection of algorithms for data mining tasks ranging from pre-processing to visualization.

* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest. Visit our partner's website for more details.

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