dustyny
I'm a polygot engineer who codes when he can. Most of my time is spent on architecture and designing business systems.
Pinned Repositories
bsd
Bias Statement Detector (BSD) computationally detects and quantifies the degree of bias in sentence-level text of news stories.
dash-flask-login
Implementation of Flask-login on top of Dash.
dockerfiles
Containerized Local Installation Package for the Pelias geocoder
ecs-refarch-cloudformation
A reference architecture for deploying containerized microservices with Amazon ECS and AWS CloudFormation (YAML)
equilid
Socially-Equitable Language Identification
news-please
news-please - an integrated web crawler and information extractor for news that just works.
newsapi
s3-dynamo-lambda
An example function showing how to count events from s3 in dynamo using lambda
spidy
The simple, easy to use command line web crawler.
spotlight-docker
Docker containers for DBpedia Spotlight
dustyny's Repositories
dustyny/bsd
Bias Statement Detector (BSD) computationally detects and quantifies the degree of bias in sentence-level text of news stories.
dustyny/dash-flask-login
Implementation of Flask-login on top of Dash.
dustyny/dockerfiles
Containerized Local Installation Package for the Pelias geocoder
dustyny/ecs-refarch-cloudformation
A reference architecture for deploying containerized microservices with Amazon ECS and AWS CloudFormation (YAML)
dustyny/equilid
Socially-Equitable Language Identification
dustyny/news-please
news-please - an integrated web crawler and information extractor for news that just works.
dustyny/newsapi
dustyny/s3-dynamo-lambda
An example function showing how to count events from s3 in dynamo using lambda
dustyny/spidy
The simple, easy to use command line web crawler.
dustyny/spotlight-docker
Docker containers for DBpedia Spotlight
dustyny/stack
A set of Terraform modules for configuring production infrastructure with AWS
dustyny/vaderSentiment
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.