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mingliuze's repositories

A curated list of awesome Machine Learning frameworks, libraries and software.

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A microbenchmark support library

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Speaker materials from CppCon 2014

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Presentation Materials from CppCon 2015

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Slides and other materials from CppCon 2018

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The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

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Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

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A collection of out-of-tree LLVM passes for teaching and learning

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A C++ Template library, developed by Andrei Alexandrescu, the author of the book Modern C++ Design.

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Machine Learning Resources, Practice and Research

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Linux Kernel Networking

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An optimized Ring Buffer implementation based on the POSIX shared memory trick

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A high performance, middleware oriented C++14 http web framework

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A bounded single-producer single-consumer wait-free and lock-free queue written in C++11

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