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unlimited-landeng-for-win

无限流量灯，你懂的，我不解释

useful-code-clip

Some collected useful code clips

usingtheoutputembedding

Code for the paper "Using the Output Embedding to Improve Language Models" by Ofir Press and Lior Wolf - http://arxiv.org/abs/1608.05859

ustcthesis

LaTeX template for USTC thesis

variational-text-tensorflow

TensorFlow implementation of Neural Variational Inference for Text Processing

videocourse-datasciencerecipes

Companion code for my video course on Practical Python Data Science Techniques, published by Packt Publishing

visdial

[CVPR 2017] Torch code for Visual Dialog

visdial-challenge-starter-pytorch

Starter code in PyTorch for the Visual Dialog challenge

visualizing-and-understanding-neural-models-in-nlp

vitutorial

This repository stores slides for a tutorial on variational inference for NLP audiences.

vqa_lstm_cnn

Train a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on OpenEnded and 63.09 on Multiple-Choice on test-standard.

webhubbot

Python + Scrapy + MongoDB . 5 million data per day !!!💥 The world's largest website.

weibo_terminater

Final Weibo Crawler Scrap Anything From Weibo, comments, weibo contents, followers, anythings. The Terminator

weibospider

:zap: 新浪微博爬虫(分布式)，部署简单，接口丰富，文档详细，视频支持，可灵活定制满足自己的需求。抓取内容（PC端）包括微博用户资料、特定关键词微博、用户主页所有微博、评论信息和转发信息。欢迎watch跟进，star支持

wevi

Word Embedding Visual Inspector

wewechat

💬 Unofficial WeChat client built with React, MobX and Electron.

wiki2vec

Generating Vectors for DBpedia Entities via Word2Vec and Wikipedia Dumps

wikiextractor

A tool for extracting plain text from Wikipedia dumps

wmpoetry

The source codes for WMPoetry model (IJCAI 2018).

word-rnn

Recurrent Neural Network that predicts word-by-word

word-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

word2vec

Use word2vec to improve search result

word2vec-1

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-api

Simple web service providing a word embedding model

word2vec-slim

word2vec Google News model slimmed down to 260k English words

word2vec_theano

The implementation of Word2Vec (SkipGram - and CBOW) models using theano and numpy

word_cloud

A little word cloud generator in Python

word_sense_disambigation_corpora

SemCor and Masc documents annotated with NOAD word senses.

wordcloud2

R interface to wordcloud for data visualization.

wordvectors

Pre-trained word vectors of 30+ languages