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Li Min's Projects

sse-popcount icon sse-popcount

SIMD (SSE) population count --- http://0x80.pl/articles/sse-popcount.html

state-of-the-art-result-for-machine-learning-problems icon state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

streamscan icon streamscan

Automatically exported from code.google.com/p/streamscan

taco icon taco

The Tensor Algebra Compiler (taco) computes tensor expressions on sparse and dense tensors

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

thrust icon thrust

Thrust is a parallel algorithms library which resembles the C++ Standard Template Library (STL).

tinyflow icon tinyflow

Tutorial code on how to build your own Deep Learning System in 2k Lines

tinyhttpd icon tinyhttpd

tinyhttpd 是一个不到 500 行的超轻量型 Http Server,用来学习非常不错,可以帮助我们真正理解服务器程序的本质。

tprint icon tprint

tprint is a printing library specially designed for SW architecture. Currently providing C and fortran API.

training icon training

Reference implementations of MLPerf™ training benchmarks

tvm icon tvm

End to end Tensor IR/DSL stack for deploying deep learning workloads to hardwares

vczh_toys icon vczh_toys

This repository contains vczh's toys for black magic codes or experiments

webbench icon webbench

Webbench是一个在linux下使用的非常简单的网站压测工具。它使用fork()模拟多个客户端同时访问我们设定的URL,测试网站在压力下工作的性能,最多可以模拟3万个并发连接去测试网站的负载能力。

whippletree icon whippletree

Whippletree, a novel approach to scheduling dynamic, irregular workloads on the GPU

wifi icon wifi

A batch tools for Windows, Create virtual WIFI hotspot(WIFI AP), start, stop WIFI, which make the laptop become a AP sharing with mobile device

xgboost icon xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

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