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

Simple and Distributed Machine Learning

Spark: The Definitive Guide's Code Repository

ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.

A connector for Spark that allows reading and writing to/from Redis cluster

This is the development repository for sparkMeasure, a tool and library designed for efficient analysis and troubleshooting of Apache Spark jobs. It focuses on easing the collection and examination…

Spark Connector to read and write with Pulsar

An Apache Spark-shell backend for IPython

A Spark port of TFOCS: Templates for First-Order Conic Solvers (cvxr.com/tfocs)

Spark-based variant calling, with experimental support for multi-sample somatic calling (including RNA) and local assembly

Distributed Linear Programming Solver on top of Apache Spark

Apache Spark jobs such as Principal Coordinate Analysis.

Vagrant, Apache Spark and Apache Zeppelin VM for teaching

VariantSpark is a framework for applying Spark-based Machine Learning methods to whole-genome variant information

Machine Learning with Scala Quick Start Guide, published by Packt

A scala library for IBM ILOG CPLEX

An example of bioinformatics and bigdata tools can playing nicely together

Samples for Apache Spark GraphX library

Learning Spark on Kubernetes in a series of Warsaw Data Engineering meetups online!

sparse logistic regression in spark

Word count and some basic log file parsing and analytics

Try out Spark 1.5 out using VMs provisioned by Vagrant and Ansible