Bayes Hack 2016

Login: bayeshack2016

Company: null

Location: San Francisco, CA

email: hack@bayesimpact.org

Blog: http://bayeshack.org/

Members

  1. Jude Calvillo
  2. Tia Gao

Repositories

airjobs
#DOL - A Centralized Gateway to Explore Job Opportunities from the Airbnb Team
awesome-public-datasets
An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!
bayeshack2016
#DOL -- Emma: career counselor
Bayes-Hack-2016
#VA suicide @ bayes Hack 2016
bayeshack-hhs-marketplace
null
bayeshack-salesforce_team
#dol
bayeshack-transportation-ems
Starter kit for the Bayes Hack 2016 Transportation prompt on emergency services
bayeshack-zebras
#HHS Opioïd research project
bayes-whales
:whale: Image classifier for finding quality ocean images in the NOAA Whales Aerial dataset (Bayes Hack 2016)
bbteam2-hud
#HUD
BlackPearlHunter
#HHS
campfire
null
cfpb-heat
#CFPB Generating a heatmap of cfpb comment data, by clustering complaints into sentiment and underlying topics we can isolate underlying patterns of abuse and maltreatment
cfsf-datasci_dot-hazmat
#DOT Data Science Working Group @ Code for SF (CFA) : App for DoT Prompt 1 (Hazmat Incidents)
data_mcdataface
#DOT : Repository for promt from Department of Transportation
dol-team-forward-data
#dol
event-jekyll-theme
Yet another Jekyll Theme
fhirsalamander
HHS - FHIRSalamander
financial-marketplace-referee
#commerce #DOC Financial Marketplace Referee
go-bot
#DOI
go-bot-api
#DOI
go-bot-chat
#DOI
go-bot-mobile
null
go-bot-sense
#DOI
greenspace
#Interior #DOI
hhs-insights
#HHS
hhs-marketplace
#HHS
hhs-marketplace-finder
#HHS Healthcare Marketplace Plan Finder
-HHS-SemanticSearch
null
HHS-SemanticSearch
#HHS
labor-ssc
#dol
LLK_Bayes
#DC
naloxone_policies
#HHS - Measuring causal effect of naloxone regulation policies on drug abuse deaths
nephy
Resource for people with late-stage kidney disease to identify dangerous foods.
OpenLabor
#DOL EMPlify (Formerly Open Labor) project for Bayes Hack 2016
parksandrec
dept of interior data
quant-hack
#HUD A Study of the Well Being of the Residents of San Francisco
satellite_force
#commerce-satellite
sysj
#DOC
team-hazmap
null
thealchemists
#DOL #BLS visualizations of employment metrics by county
transpopo
#DOT Predicting EMS incident details from caller data
unemployment-form
#labor
-VA-VetRisk
#VA - Vet Risk assesment using ICPSR 35037
vetafi
#VA
wedabayest
Bayes Hackathon 2016
ZenBayes
#DOL BayesHack2016 submission by Team ZenBayes

This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.