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.
From the basics to slightly more interesting applications of Tensorflow.
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.
Enterprise-strength web, mobile and event analytics, powered by Hadoop, Kinesis, Redshift and Elasticsearch.
An open source Hadoop Data Integration Tool.
Apache NiFi – MiNiFi
MiNiFi is a child project effort of Apache NiFi.
Google TensorFlow Models
Models built with TensorFlow.
An implementation DeepMind’s WaveNet paper
A TensorFlow implementation of DeepMind’s WaveNet paper.
Sequential model-based optimization with a scipy.optimize interface.
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.
Apache Pirk (incubating)
Pirk is to provide a landing place for robust, scalable, and practical implementations of Private Information Retrieval (PIR) algorithms.
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