Pinned Repositories
bp-means
This is code associated with the paper: Broderick, T., Kulis, B. and Jordan, M. I. "MAD-bayes: MAP-based asymptotic derivations from Bayes." International Conference on Machine Learning. 2013. http://jmlr.org/proceedings/papers/v28/broderick13.html
brainx
Tools for analysis of brain imaging-derived networks, based on NetworkX
DataChallenges
Code for data challenge to practice/demonstrate data science skills.
jagust_rsfmri
klarnemann.github.io
metabolic_inefficiency
Code associated with Arnemann et al. (in prep): "Early-life metabolic inefficiency predicts amyloid-β topology in late-life".
network_simulation
newman
newman with integrated cost
pointsofinterest
Recommender for rural site-seers
quickgit-lab
Quick Git Tutorial for the lab
kbegany's Repositories
kbegany/klarnemann.github.io
kbegany/pointsofinterest
Recommender for rural site-seers
kbegany/metabolic_inefficiency
Code associated with Arnemann et al. (in prep): "Early-life metabolic inefficiency predicts amyloid-β topology in late-life".
kbegany/DataChallenges
Code for data challenge to practice/demonstrate data science skills.
kbegany/Rdatasets
An archive of datasets distributed with R
kbegany/network_simulation
kbegany/jagust_rsfmri
kbegany/STAT215A
kbegany/bp-means
This is code associated with the paper: Broderick, T., Kulis, B. and Jordan, M. I. "MAD-bayes: MAP-based asymptotic derivations from Bayes." International Conference on Machine Learning. 2013. http://jmlr.org/proceedings/papers/v28/broderick13.html
kbegany/newman
newman with integrated cost
kbegany/SMASH_2013
Repository for the "Networks and the Brain" implementation of the "Topics and Current Science Research" course provided by the SMASH program at UC Berkeley.
kbegany/brainx
Tools for analysis of brain imaging-derived networks, based on NetworkX
kbegany/quickgit-lab
Quick Git Tutorial for the lab