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amazon-elasticsearch-lambda-samples

Data ingestion for Amazon Elasticsearch Service from S3 and Amazon Kinesis, using AWS Lambda: Sample code

amazon-kinesis-client-python

Amazon Kinesis Client Library for Python

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. New PR ☛☛☛

aws-ses-serverless-example

AWS SES example in NodeJS using lambda

bigcrate

chalice

Python Serverless Microframework for AWS

chefdata

commoncrawl

A distributed system for mining common crawl using SQS, AWS-EC2 and S3

creator-weekly-workshops

Here you can find any code that we use in the Creator Demo Videos

datarigs.github.io

deeplearnjs

A hardware-accelerated deep learning library for the web.

emr-studio-samples

This repo contains samples for EMR Studio feature.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hdp22-twitter-demo

Monitor Twitter stream for S&P 500 companies to identify & act on unexpected increases in tweet volume

health-graph

Graph of health and pharm data.

javascript

JavaScript Style Guide

log-synth

Generates more or less realistic log data for testing simple aggregation queries.

machine-learning-projects

My Machine Learning projects and notes

nodeapp

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

prosparkstreaming

Code used in "Pro Spark Streaming: The Zen of Real-time Analytics using Apache Spark" published by Apress Publishing.

python-twitter-bot

A twitter bot written in python and using sqlite3 to store needed information

quickseek

QuickSeek is a chrome extension that allows you to easily search and navigate through a YouTube video, you can quickly find and watch only parts of the video that contain words you are looking for. The Chrome extension uses Amazon Transcribe to make the audio searchable and Amazon Comprehend to perform sentiment analysis on the transcript.

rubyaws

sixappssixweeks

spark-nba-analytics

Analyzing NBA data using Spark 2.1

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

test

testaws

testprojects