Weekly BigData & ML Roundup – Sep. 18, 2016

This week’s roundup includes an incubating Apache project, Pirk – developed by NSA, which provides robust, scalable, and practical implementations of Private Information Retrieval (PIR) algorithms on top of Hadoop, Spark, Storm & Elasticsearch.

Examples

TensorFlow Tutorials
From the basics to slightly more interesting applications of Tensorflow.

TensorFlow Examples
TensorFlow Tutorial and Examples for beginners.

The Free Hive Book
A free electronic book about Apache Hive. The book is geared towards SQL-knowledgeable business users with some advanced tips for devops.

Toolsets

Snowplow
Enterprise-strength web, mobile and event analytics, powered by Hadoop, Kinesis, Redshift and Elasticsearch.

Skool
An open source Hadoop Data Integration Tool.

Apache NiFi – MiNiFi
MiNiFi is a child project effort of Apache NiFi.

Models

Google TensorFlow Models
Models built with TensorFlow.

An implementation DeepMind’s WaveNet paper
A TensorFlow implementation of DeepMind’s WaveNet paper.

Scikit-Optimize
Sequential model-based optimization with a scipy.optimize interface.

Libraries

Apache MADlib (incubating)
MADlib® provides data-parallel implementations of mathematical, statistical and machine learning methods for structured and unstructured data.

Sparklyr: R interface for Apache Spark
R interface for Apache Spark.

Confluent Kafka Elasticsearch Connector
Kafka Connect Elasticsearch connector.

Framework

Apache Pirk (incubating)
Pirk is to provide a landing place for robust, scalable, and practical implementations of Private Information Retrieval (PIR) algorithms.


You can find a lot more tools, frameworks and libraries at PocketCluster Index. Go check it out! Looking into adding your repo? tweet to @stkim1!

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