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buboqa

Simple question answering over knowledge graphs (Mohammed et al., NAACL 2018)

cfo

Conditional Focused Neural Question Answering with Large-scale Knowledge Bases

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

coursera-applied-data-science-with-python

Repo for coursera specialization Applied Data Science with Python by University of Michigan

cs-skill-tree

平时学习整理的笔记🌲🌲🌲

dataframe2ffm

DataFrame数据格式转换成FFM格式

deep-learning-coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

feature-engineering-book

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

frobot-cloud-platform

轻量级分布式云平台

gomoku

The project of distribute system course.

happy-exercises

:fire:计算机相关的练习、项目、比赛等代码。

happy-word2vec

hlpt

Happy Language Processing Toolkit.

hr-bilstm

Implementation for paper "Improved Neural Relation Detection for Knowledge Base Question Answering"

jacana

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

kbqa-ar-smcnn

Question answering over Freebase (single-relation)

kbqa_fb

Knowledge Base Qusetion Answer based on Freebase

kdd2011_track2

A Project of KDD Cup 2011 Track2

leetcode

:confounded: :confused: :smiley:LeetCode问题解题思路。

lintcode

lintcode题目答案分析对比，持续更新。

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

mcnp

:bar_chart:复杂网络建模课程设计. The project of modeling of complex networks course.

monty-hall

The simulation for monty hall questions. also give mathematical explain.

ndvr-dml

Implementation of near duplicate video retrieval based on Deep Metric Learning.

netease-music-recommendation

网易云音乐推荐系统实现

probabilistic-graphical-models

Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.

qa_multi-columncnn

使用MCCNNs创建的问答系统（实现论文Question Answering over Freebase with Multi-Column Convolutional Neural Networks）

shot-boundary-detection

Shot boundary detection (SBD) python program: Internship (Summer 2016) project

stanford-nlp-course-notes

斯坦福大学Professor Dan Jurafsky & Chris Manning 教授的自然语言课程读书笔记