Description
Oryx 2 is a realization of the lambda architecture built on Apache Spark
and Apache Kafka, but with specialization for real-time large scale machine
learning. It is a framework for building applications, but also includes packaged, end-to-end
applications for collaborative filtering, classification, regression and clustering.
Proceed to the Oryx 2 site for full documentation.
Just looking to deploy a ready-made, end-to-end application for collaborative filtering, clustering or classification? Easy.
Proceed directly to:
Oryx 2 alternatives and similar libraries
Based on the "Machine Learning" category.
Alternatively, view Oryx 2 alternatives based on common mentions on social networks and blogs.
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Apache Spark
Apache Spark - A unified analytics engine for large-scale data processing -
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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. -
Deep Java Library (DJL)
An Engine-Agnostic Deep Learning Framework in Java -
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DatumBox
Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications. -
Weka
Collection of algorithms for data mining tasks ranging from pre-processing to visualization.
Collect and Analyze Billions of Data Points in Real Time
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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Popular Comparisons
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Oryx 2vsH2O
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Oryx 2vsApache Spark
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Oryx 2vsDeeplearning4j
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README
Oryx 2 is a realization of the lambda architecture built on Apache Spark and Apache Kafka, but with specialization for real-time large scale machine learning. It is a framework for building applications, but also includes packaged, end-to-end applications for collaborative filtering, classification, regression and clustering.
Proceed to the Oryx 2 site for full documentation.
Just looking to deploy a ready-made, end-to-end application for collaborative filtering, clustering or classification? Easy. Proceed directly to:
- Prepare your Hadoop cluster with Cluster Setup
- Get a Release
- Prepare a config file from the Configuration Reference
- Run the binaries with Running Oryx
- Learn about the REST API endpoints you can call in the API Endpoint Reference
Developers can consume Oryx 2 as a framework for building custom applications as well. Following the architecture overview below, proceed to Making an Oryx App to learn how to create a new application. You can review a module diagram as well to understand the project structure.
