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re2

RE2 is a fast, safe, thread-friendly alternative to backtracking regular expression engines like those used in PCRE, Perl, and Python. It is a C++ library.

readability

Turn any web page into a clean view

recurrent-neural-networks

Recurrent Neural Network for modeling sequential data implemented using Python and Theano.

recurrentshop

Framework for building complex recurrent neural networks with Keras

reuters-news-crawlers

Reuters News Crawlers with Python

rnn-decoder

Encode/Decode binary files and images for char-rnn

rnn-tutorial-gru-lstm

Language Model GRU with Python and Theano

rnnlm-optimization

T.Mikolov's RNNLM with EIGEN and CUDA backend

rnnlm_theano

several scenarios for training RNN-based language models

rssspider

Rss spider by nodejs , rss 爬虫，正文抓取

semantic_summ

semantic summarization using abstract meaning representation (AMR)

seq2seq

Sequence to Sequence Learning with Keras

seq2seq-1

sequence to sequence neural network model for dialogue system

sequence-translation

RNN encoder/decoder model for sequence translation

skip-thoughts

smart_open

Utils for streaming large files (S3, HDFS, gzip, bz2...)

softalignments

Soft alignment visualisations for command line

source-code-pro

Monospaced font family for user interface and coding environments

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

subword-nmt

Subword Neural Machine Translation

summerschool2015

Slides and exercises for the Deep Learning Summer School 2015 programming tutorials

svgtex

Using MathJax and PhantomJS to create SVGs on server side with minimum overhead.

tensor2tensor

A library for generalized sequence to sequence models

tensorflow-examples

TensorFlow tutorials and code examples for beginners

tensorflow-tutorials

Simple tutorials using Google's TensorFlow Framework

tensorflow_with_latest_papers

Implementation of Newest RNN and Seq2Seq Features

textrank

Python implementation of TextRank algorithm (https://web.eecs.umich.edu/~mihalcea/papers/mihalcea.emnlp04.pdf) for automatic keyword extraction and summarization using Levenshtein distance as relation between text units.

textrank-1

TextRank implementation in Python.

textrank4zh

从中文文本中自动提取关键词和摘要

textsimilarityconvnet

Similarity measurement between texts using Convolutional Neural Networks