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jroepsch / hackisu
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Yesta / hogwild_sgd
OtherThis is a python implementation of parallel computation of stochastic gradient descent. This is approach is called Hogwild! based on the following research paper "A Lock-Free Approach to Parallelizing Stochastic Gradient Descent"
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Yesta / naive_bayes
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This project is a Python implementation of "Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs".
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A simple IRLP project made by three Iowa State University freshmen for CPR E 186.
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