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1-billion-word-language-modeling-benchmark

Formerly known as code.google.com/p/1-billion-word-language-modeling-benchmark

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-nlp-resource

awesome nlp resource

awesome-text-summarization

The guide to tackle with the Text Summarization

awesome-text-summarization-1

A curated list of resources dedicated to text summarization

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

deep-news-summarization

News summarization using sequence to sequence model with attention in TensorFlow.

financial-news-dataset

450,341 news from Bloomberg and 109,110 news from Reuters.

keras-text-summarization

Text summarization using seq2seq in Keras

machine-learning-web-apps

Building and Embedding Machine Learning Model into a Web App(With Flask,etc)

machine-learning-with-python

Python codes for common Machine Learning Algorithms

models

Models and examples built with TensorFlow

nlp

各种nlp 工具的使用包括 word2vec nltk textblob crf++ 等

nlp-lang

这个项目是一个基本包.封装了大多数nlp项目中常用工具

nupic.nlp-examples

Some NLP experiments with NuPIC and CEPT SDRs

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

pytextrank

Python implementation of TextRank for text document NLP parsing and summarization

rc-cnn-dailymail

CNN/Daily Mail Reading Comprehension Task

rc-data

Question answering dataset featured in "Teaching Machines to Read and Comprehend

reuters-full-data-set

Full dataset of Reuters composed of 8,551,441 news titles, links and timestamps (Jan 2007 - Aug 2016).

sentiment-discovery

Unsupervised Language Modeling at scale for robust sentiment classification

signal-1m-tools

stock_up

Stock Up is a web application that provides stock market data of every company listed on the NYSE, AMEX, and NASDAQ for the last 20 years. The application takes adavantage of the D3 API to present the data in intuitive and pragmatic way. We choose to use a multi-series line chart and a bivariate chat to display and compare the data in a pragmatic way. A bivariate area chart was used to show the high and low of an item in a format similar to a line graph in order to estimate the risk associated with a stock. Built with php, css, html, and javascript at 2015 fall PennApps.

stockprediction

Data and code of my Medium story on stock prediction with TensorFlow

sumy

Module for automatic summarization of text documents and HTML pages.

tensorflow-summarization

text_summarization_with_tensorflow

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

textcategorization

:zap: Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.

textsum

Preparing a dataset for TensorFlow text summarization (TextSum) model.