kbegany Goto Github PK
Name: Katie Begany
Type: User
Bio: Neuroscientist | Data Scientist
Name: Katie Begany
Type: User
Bio: Neuroscientist | Data Scientist
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
Tools for analysis of brain imaging-derived networks, based on NetworkX
Code for data challenge to practice/demonstrate data science skills.
Code associated with Arnemann et al. (in prep): "Early-life metabolic inefficiency predicts amyloid-β topology in late-life".
newman with integrated cost
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Quick Git Tutorial for the lab
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Repository for the "Networks and the Brain" implementation of the "Topics and Current Science Research" course provided by the SMASH program at UC Berkeley.
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.