An Open Source Machine Learning Framework for Everyone

JSON for Modern C++

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, in…

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）

Algorithms & Data structures in C++.

A Toolkit for Industrial Topic Modeling

FAQ-based Question Answering System

剖析 STL 是一种享受的过程！

Hikyuu Quant Framework 基于C++/Python的极速开源量化交易研究框架，同时可基于策略部件进行资产重用，快速累积策略资产。

Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communi…

A Go A.I. based on MCTS WITHOUT Neural Networks

C++11 实现的简易版 STL

学习STL过程，自己实现的STL代码

一个搜索引擎迷你项目，涉及分词，建倒排索引，网页去重，计算相似度，文本聚类，多进程编程，网络编程，守护进程编写，makefile编写，工程组织等各方面内容

推荐一个学习C++的方法，适合有一定基础的同学。先读effective c++，一天能搞定（从c转读第二版，从java等转读第三版），然后读google c++ style。再是看leveldb代码（http://t.cn/aYyqjo 多谢@apc2 推荐），Sanjay和Jeff所写，简短完备，非常优美，完美阐述前两者所列的原则。

light deep neural network tools box(LSTM,GRU,RNN,CNN,Bi-LSTM,etc)

read and deconstruct code