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amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

autonomous-fire-detecting-drone

awesome-java

A curated list of awesome Java frameworks, libraries and software.

big-data-mapreduce-course

BigData/MapReduce Course @ Santa Clara University, Fall 2016

cassandrakafkaindex

Cassandra Custom Secondary Index which is inspired by Stargate-core

chronicle-queue

Micro second messaging that stores everything to disk

data-algorithms-book

MapReduce, Spark, Java, and Scala for Data Algorithms Book

ddf-flink

DDF with Flink Implementation

dendrite

People. Places. Things. Graphs.

dss-scaling-tutorial

firecam

generative-ai-pharmacist

geoexperimentsresearch

An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google product.

hawkular-inventory

Inventory part of Hawkular - basically a registry for all the things

hub

A library for transfer learning by reusing parts of TensorFlow models.

kafka-exactly-once

kafka-examples

Snippets and small examples demonstrating kafka features and configs

kafkamock

Three embedded Kafka instances and one Zookeeper instance, for hosting and demo purposes

learning-spark-examples

Examples for learning spark

lets-stop-wildfires-hackathon

Together We Can Make Things Happen !

lore

Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers

mapdb

MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap-memory. It is a fast and easy to use embedded Java database engine.

ml-pipelines

This repo is hosting all common ML pipeline abstractions built on Apache Flink.

models

Models and examples built with TensorFlow

modern-java

netty-http

Netty based HTTP service with JAX-RS

object-detection

Tutorial on building an object detector

oscars2016

Oscars 2016 on Twitter - Insights and trending topics

prodsim

ProdSim is a process-based discrete event simulation for production environments based on the SimPy framework

pyspark-tutorial

PySpark-Tutorial provides basic algorithms using PySpark