mikebern/ManyWaysToCluster
Demonstration of K-Means, Gibbs variants for GMM (Block and Collapsed), clustering using Dirichlet process (DPMM), and Locally Adaptive Clustering.
Resources to work offline on the assignments of Heterogenous Parallel Programming course from Coursera.
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Demonstration of K-Means, Gibbs variants for GMM (Block and Collapsed), clustering using Dirichlet process (DPMM), and Locally Adaptive Clustering.
Twitter's collection of LZO and Protocol Buffer-related Hadoop, Pig, Hive, and HBase code.
Public repository.
C++ library for neural networks.