MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Convolutional Neural Networks

header only, dependency-free deep learning framework in C++14

Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

A Flexible and Powerful Parameter Server for large-scale machine learning

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

Papers on Computational Advertising

Distributed training framework with parameter server

Example of use of Spark Streaming with Kafka

A cooler tour the same as scala language

The source code for the appendix part of the Chinese version of the book Coding Interviews

vim配置

Kids Is Data Stream

LIBSVM -- A Library for Support Vector Machines

Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code…

Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning

Solutions for the book: Cracking the coding interview V4. Written in C++.

Deep Learning Tutorial notes and code. See the wiki for more info.

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

Classical equations and diagrams in machine learning

An add-in for VB6 designed for Tkinter (直接使用VB6设计Tkinter GUI界面)

结巴中文分词

本项目曾冲到全球第一，干货集锦见本页面最底部，另完整精致的纸质版《编程之法：面试和算法心得》已在京东/当当上销售