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TreeinRandomForest/README.md

Project Descriptions (more detailed descriptions coming soon)

My main interest currently is the application of machine learning (Bayesian Optimization and Reinforcement Learning) for tuning and optimizing systems software, in particular, Linux sub-systems and compilers.

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  1. linux-tuning linux-tuning Public

    HTML

  2. gccoptim gccoptim Public

    Using reinforcement learning to do combinatorial optimization on gcc parameters

    C 3 2

  3. nic-tuning-experiments nic-tuning-experiments Public

    Experimental approaches for tuning NIC registers

    Roff 2

  4. BrnoMLWorkshop2019 BrnoMLWorkshop2019 Public

    Subset of material for a 5-day machine learning workshop

    Jupyter Notebook 5 6

  5. kubeflow_usecases kubeflow_usecases Public

    Jupyter Notebook 10 9