allwefantasy/mlsql-redis

wtog/web-crawler

web crawler

enriquegrodrigo/spark-crowd

A package for dealing with crowdsourced big data.

univalence/spark-tools

cookieai/cookie-datasets

Read well-known ML datasets in Apache Spark

liquidsvm/liquidsvm

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

bigstepinc/sparkbench

Terasort-like benchmark for spark 2.x that uses dataframes, saves files in parquet etc for a more realistic testing.

peterbanda/incal-spark_ml

Extension of Spark ML library for the temporal domain served by delay line and reservoir computing kernels/transformers, several classification and regression models, and a convenient customizable pipeline execution.

sansa-stack/sansa-ml

SANSA Machine Learning Layer

hirofumi/xgboost4j4s

XGBoost4J for Scala with Mac and Linux binaries

apache/incubator-predictionio

PredictionIO, a machine learning server for developers and ML engineers. Built on Apache Spark, HBase and Spray.

combust-ml/bundle-scala

Scala reference implementation for Bundle.ML serializers

iaja/scalaldavis

Scala-Spark port of https://github.com/bmabey/pyLDAvis for Apache Spark LDA Topic Modelling Visualisation

amplab/keystone

Simplifying robust end-to-end machine learning on Apache Spark.

mindfulmachines/peapod

Dependency and data pipeline management framework for Spark and Scala

lewuathe/dllib

dllib is a distributed deep learning library running on Apache Spark

biopet/10xkit

mindfulmachines/ladydi

Code Less, Build More. Clean, automated Feature Generation and Selection for Apache Spark!

erwinvaneijk/sparkutils

Various convenience routines/functions/tricks when using spark.