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seq2seq_chatbot_links

[unmaintained] Links to the implementations of neural conversational models for different frameworks

seq2seq_chatbot_qa

使用TensorFlow实现的Sequence to Sequence的聊天机器人模型

seq2seq_ocr

seq2seq_parser

Parsing as seq2seq, including speech encoder branch

seq2seq_temporal_attention

Generating Video Description using Sequence-to-sequence Model with Temporal Attention

seq2seq_toy_problem

Learning to reverse words in sentence using Seq2Seq. (Last problem in ud730)

seq2seq_translate

Translation with a Sequence to Sequence Network and Attention

seq2seq_upgrade_tensorflow

[unmaintained] Additional Sequence to Sequence Features for TensorFlow

seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

seqgan-1

dialogue generation with seqGAN

seqgan-2

Implementation of SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient https://arxiv.org/pdf/1609.05473v5.pdf

seqgan-text-tensorflow

:dango: SeqGAN implementation for generating text using an RNN.

seqgan_piano

SeqGAN model that produces piano music

short-text-summarization

LCSTS,ROUGE,short text summarization,NLG,seq2seq

simple_ocr

simple_text_summarizer

Simple text summarizer created by using Tensorflow library.

sinaspider

新浪微博爬虫（Scrapy、Redis）

sinaweibospider

使用node.js写的一个简单的新浪微博爬虫，目前仅是爬取了粉丝信息，大概一分钟可以爬取4000多个人的信息。

slim-seq2seq

smartf5

Reload your page resources smartly: html, js, css

sogou_weixin

weixin.sogou.com 微信爬虫 -- 基于scrapy

stock_market_reinforcement_learning

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

stockholm

一个股票数据（沪深）爬虫和选股策略测试框架

studentcoursedemo

iOS在线学习系统，每门课程对应视频、word、课件资源等，在线考试等功能

study-reinforcement-learning

Studying Reinforcement Learning Guide

sudl

deep learning framework

sxdtest

自己创建第一个测试仓库

tacotron2

Forked from https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2 and merged with https://github.com/Rayhane-mamah/Tacotron-2

tadw

Network Representation Learning with Rich Text Information (IJCAI 2015)

tbcrawler

淘宝天猫 商品 爬虫