wewela Goto Github PK
Name: Gang Wang
Type: User
Company: Flowcomputing.org
Gang Wang's Projects
lombok
Very spicy additions to the Java programming language.
lyricsbox
A Rhythmbox lyrics viewer plugin to show lyrics Karaoke-style.
mumble
Mumble VoIP Client/Server
nativelibs4java
Repository for all NativeLibs4Java projects : JavaCL, ScalaCL, BridJ, JNAerator...
nocache
minimize caching effects
nuitka
Official mirror of Nuitka as from http://nuitka.net
openchange
OpenChange Project
opentuner
An extensible framework for program autotuning
picard
A set of tools (in Java) for working with next generation sequencing data in the BAM (http://samtools.github.io/hts-specs) format.
pmfs
Persistent Memory File System
pmu-tools
Intel PMU profiling tools
ptunnel
tunnel connections through HTTPS proxy
rhadoop
RHadoop - [email protected]
robovm
Java bytecode ahead-of-time compiler and runtime library based on Android targeting iOS, Mac OS X and Linux
rootbeer1
Rootbeer GPU Compiler - Java GPU Programming
samtools
Tools (written in C using htslib) for manipulating next-generation sequencing data
sbt-pack
A sbt plugin for creating distributable Scala packages.
scala
The Scala programming language
scala-guice
Scala extensions for Google Guice
scalaqlite
A native Scala library for using Sqlite3
scalding
A Scala API for Cascading
scikit-learn
scikit-learn: machine learning in Python
shark
Hive on Spark
spark-kmeans
This project deals with the implementation of k-means for multi-dimensional clustering.
spark-notebook
Use Apache Spark straight from the Browser
sparkr-pkg
R frontend for Spark
sslh
Applicative Protocol Multiplexer (e.g. share SSH and HTTPS on the same port)
stanza.io
Modern XMPP in the browser, with a JSON API
starfish
Starfish is a self-tuning system for big data analytics. Starfish builds on Hadoop while adapting to user needs and system workloads to provide good performance automatically, without any need for users to understand and manipulate the many tuning knobs in Hadoop.
stxxl
STXXL: Standard Template Library for Extra Large Data Sets
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