Jonathan Bragg (jbragg)

jbragg

Geek Repo

Company: @allenai Allen Institute for AI (AI2)

Home Page:https://jonathanbragg.com

Twitter:@turingmusician

Github PK Tool:Github PK Tool


Organizations
uw-hai

Jonathan Bragg's repositories

Language:PythonStargazers:2Issues:2Issues:0

sprout

Requester tool for task design

universe

Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

Language:PythonLicense:MITStargazers:1Issues:1Issues:0

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

Language:JavaScriptLicense:MITStargazers:0Issues:0Issues:0

amti

A Mechanical Turk Interface (amti) 🤖

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

crowd-gating

Gating instructions and adaptive testing for crowdsourcing requesters

Language:PythonStargazers:0Issues:1Issues:0

datasets

Datasets and evaluation metrics for Natural Language Processing in NumPy, Pandas, PyTorch and TensorFlow

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

go-vncdriver

Fast VNC driver

Language:GoLicense:MITStargazers:0Issues:1Issues:0

gym

A toolkit for developing and comparing reinforcement learning algorithms.

Language:PythonLicense:NOASSERTIONStargazers:0Issues:1Issues:0

heroku-buildpack-zmdp

ZMDP POMDP solver buildpack

Language:ShellStargazers:0Issues:1Issues:0

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

Language:PythonLicense:BSD-3-ClauseStargazers:0Issues:1Issues:0

hydra

Hydra is a framework for elegantly configuring complex applications

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

icml-nips-iclr-dataset

All papers, authors and author affiliations from ICML, NIPS and ICLR 2016-2018

Language:Jupyter NotebookStargazers:0Issues:1Issues:0

juggler

Parallel Task Routing for Crowdsourcing

Language:PythonStargazers:0Issues:1Issues:0

learning-compatible-performance-support

Code for "Fake It Till You Make It: Learning-Compatible Performance Support." Jonathan Bragg and Emma Brunskill. In 2019 Conference on Uncertainty in Artificial Intelligence (UAI '19).

Language:PythonStargazers:0Issues:1Issues:0

seaborn

Statistical data visualization using matplotlib

Language:PythonLicense:BSD-3-ClauseStargazers:0Issues:1Issues:0

utility

My Mechanical Turk web framework. I think it's dope. Needs to be renamed... it's not just about utility anymore.

Language:PythonStargazers:0Issues:1Issues:2