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ChineCH's Projects

hystrix icon hystrix

Hystrix is a latency and fault tolerance library designed to isolate points of access to remote systems, services and 3rd party libraries, stop cascading failure and enable resilience in complex distributed systems where failure is inevitable.

immer icon immer

Postmodern immutable and persistent data structures for C++

interpretablemlbook icon interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版

iris icon iris

The fastest web framework for Go in (THIS) Earth. HTTP/2 Ready-To-GO.

isa-l icon isa-l

Intelligent Storage Acceleration Library

javaguide icon javaguide

【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

jsoncpp icon jsoncpp

A C++ library for interacting with JSON.

k6 icon k6

A modern load testing tool, using Go and JavaScript - https://k6.io

keydb icon keydb

A Multithreaded Fork of Redis

kubernetes icon kubernetes

Production-Grade Container Scheduling and Management

leanote icon leanote

Not Just A Notepad! (golang + mongodb) http://leanote.org

learn_math_fast icon learn_math_fast

This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube

leofs icon leofs

LeoFS is an unstructured object/data storage for the Web and a highly available, distributed, eventually consistent storage system.

leveldb icon leveldb

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

libevent icon libevent

A public libevent repository. The official repository is at https://github.com/libevent/libevent

libreactor icon libreactor

libReactor is a lightweight network programming framework

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lihang icon lihang

Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata]

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