H2O Alternatives

Similar projects and alternatives to H2O

• Deeplearning4j

  - 12,470 9.7 Java H2O VS Deeplearning4j

  Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

  

• Weka

  - 302 0.0 PostScript H2O VS Weka

• SonarLint

  www.sonarlint.org

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  Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.

  

• Apache Flink

  - 18,920 10.0 Java H2O VS Apache Flink

  Apache Flink

  

• Apache Mahout

  - 1,992 1.0 Java H2O VS Apache Mahout

  Mirror of Apache Mahout

  

• Deep Java Library (DJL)

  - 2,508 9.5 Java H2O VS Deep Java Library (DJL)

  An Engine-Agnostic Deep Learning Framework in Java

  

• Apache Spark

  - 32,903 10.0 Scala H2O VS Apache Spark

  Apache Spark - A unified analytics engine for large-scale data processing

  

• Smile

  - 5,508 8.5 Java H2O VS Smile

  Statistical Machine Intelligence & Learning Engine

• Scout APM

  scoutapm.com

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  Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  

• Oryx 2

  - 1,800 0.8 Java H2O VS Oryx 2

  Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

  

• Apache Hadoop

  - 12,591 9.8 Java H2O VS Apache Hadoop

  Apache Hadoop

  

• DatumBox

  - 1,077 0.0 Java H2O VS DatumBox

  Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.

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