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jroepsch / hackisu
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Yesta / naive_bayes
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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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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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Duwe Teaching / CprE487_587 / tiny-imagenet-tfds
Apache License 2.0tiny-imagenet dataset downloader & reader using tensorflow_datasets (tfds) api
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Iowa State Batteryless Intelligent Computation / BOBBER
Apache License 2.0Updated -
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