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btm

Code for Biterm Topic Model (published in WWW 2013)

caffe

Caffe: a fast open framework for deep learning.

classifying-text

Classifying text with bag-of-words

devarticles

Develop Articles

house

houseprice

ijcai-18-top2-single-mole-solution

复赛第二名单模型方案，没有特征选择没有调参LGB单模型857个特征

inception-v4

Inception-v4, Inception - Resnet-v1 and v2 Architectures in Keras

kaggle-2014-criteo

kibana

Kibana

lda

Topic modeling with latent Dirichlet allocation using Gibbs sampling

lshash

A fast Python implementation of locality sensitive hashing.

mllearning

A version of code implementation of Machine Learning in Action written by C/C++

one2two

python-simhash

An efficient simhash implementation for python

requests

Python HTTP Requests for Humans™.

simhash

中文文档simhash值计算

simhash-1

A Python Implementation of Simhash Algorithm

textgrocery

A simple short-text classification tool based on LibLinear

the-art-of-programming-by-july

本github已于14年6月基本停止更新，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！

vimrc

The ultimate Vim configuration: vimrc

word2vec

This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.

word2vec-1

Python interface to Google word2vec

yahoo_lda

Yahoo!'s topic modelling framework using Latent Dirichlet Allocation