-
under Apache License 2.0 license
-
A machine learning package built for humans.
-
under MIT License license
-
Microsoft Machine Learning for Apache Spark
-
under BSD 3-Clause "New" or "Revised" License license
-
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
-
under Apache License 2.0 license
-
Simplifying robust end-to-end machine learning on Apache Spark.
-
under MIT License license
-
Machine Learning with Spark - Second Edition, by Packt
-
under Apache License 2.0 license
-
Zen aims to provide the largest scale and the most efficient machine learning platform on top of Spark, including but not limited to logistic regression, latent dirichilet allocation, factorization machines and DNN.
-
under Apache License 2.0 license
-
A Scala feature transformation library for data science and machine learning
-
under MIT License license
-
Code from the book Machine Learning Systems
-
under Apache License 2.0 license
-
Scala Library/REPL for Machine Learning Research
-
under Apache License 2.0 license
-
Structured Streaming Machine Learning example with Spark 2.0
-
under MIT License license
-
Apache Spark 2x Machine Learning Cookbook, published by Packt
-
under MIT License license
-
Scala Machine Learning Projects, published by Packt
-
under Apache License 2.0 license
-
Verizon Big Data Analytics framework to build batch, streaming and api services to deploy machine learning models using Spark and Akka compute
-
under GNU Affero General Public License v3.0 license
-
flink-jpmml is a fresh-made library for dynamic real time machine learning predictions built on top of PMML standard models and Apache Flink streaming engine
-
under MIT License license
-
Scala for Machine Learning - Second Edition, published by Packt
-
under Apache License 2.0 license
-
A library to support distributed matrix computation for machine learning and data analysis
-
under Apache License 2.0 license
-
The purpose of this tiny project is to put things together with the know how that i learned from the course big data expert from formacionhadoop.com The idea is to show how to play with apache spark streaming, kafka,mongo, spark machine learning algorithms.
-
under MIT License license
-
Mastering-Scala-Machine-Learning
-
under Apache License 2.0 license
-
:cake: doddle-model: machine learning in Scala.
-
under MIT License license
-
Mastering Machine Learning with Spark 2.x, published by Packt
-
under Apache License 2.0 license
-
Machine learning enhancements to Spark MlLib
-
under Apache License 2.0 license
-
An automatic machine learning toolkit, including hyper-parameter tuning and feature engineering.
-
under Apache License 2.0 license
-
The machine learning component of Open Network Insight: scalable analytics combining spark for big data and C / MPI for high performance scientific computing.
-
under GNU General Public License v3.0 license
-
Machine Learning over Twitter's stream. Using Apache Spark, Web Server and Lightning Graph server.
-
under Apache License 2.0 license
-
Ranking algorithms for Spark machine learning pipeline
-
under Apache License 2.0 license
-
Big Data Tips, such as spark core,streaming,Machine Learning,Deep Learning etc.
-
under BSD 2-Clause "Simplified" License license
-
SwiftLearner: Scala machine learning library
-
under Apache License 2.0 license
-
ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.
-
under MIT License license
-
Asynchronous spark machine learning with parameter server
-
under Apache License 2.0 license
-
This project is used to capture machine learning pipelines created on top of Spark as OK