jbragg
Senior Research Scientist at Allen Institute for AI (AI2). Human-centered AI researcher.
@allenai Allen Institute for AI (AI2)
Pinned Repositories
al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
amti
A Mechanical Turk Interface (amti) 🤖
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
crowd-gating
Gating instructions and adaptive testing for crowdsourcing requesters
cscw16-bootstrapping
datasets
Datasets and evaluation metrics for Natural Language Processing in NumPy, Pandas, PyTorch and TensorFlow
deluge
go-vncdriver
Fast VNC driver
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.
jbragg's Repositories
jbragg/deluge
jbragg/cscw16-bootstrapping
jbragg/sprout
Requester tool for task design
jbragg/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.
jbragg/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
jbragg/amti
A Mechanical Turk Interface (amti) 🤖
jbragg/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
jbragg/crowd-gating
Gating instructions and adaptive testing for crowdsourcing requesters
jbragg/datasets
Datasets and evaluation metrics for Natural Language Processing in NumPy, Pandas, PyTorch and TensorFlow
jbragg/go-vncdriver
Fast VNC driver
jbragg/gym
A toolkit for developing and comparing reinforcement learning algorithms.
jbragg/heroku-buildpack-zmdp
ZMDP POMDP solver buildpack
jbragg/hmmlearn
Hidden Markov Models in Python, with scikit-learn like API
jbragg/hydra
Hydra is a framework for elegantly configuring complex applications
jbragg/icml-nips-iclr-dataset
All papers, authors and author affiliations from ICML, NIPS and ICLR 2016-2018
jbragg/juggler
Parallel Task Routing for Crowdsourcing
jbragg/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).
jbragg/seaborn
Statistical data visualization using matplotlib
jbragg/utility
My Mechanical Turk web framework. I think it's dope. Needs to be renamed... it's not just about utility anymore.