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pytorch-poetry-gen

a char-RNN based on pytorch

pytorch-pretrained-bert

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

pyunit-calendar

农历和阳历相互的转换,农历转阳历,阳历转农历.天干地支转阳历.农历转天干地支等等关于日历之间的转换

qaonmilitarykg

QAonMilitaryKG，QaSystem based on military knowledge graph that stores in mongodb which is different from the previous one, 基于mongodb存储的军事领域知识图谱问答项目，包括飞行器、太空装备等8大类，100余小类，共计5800项的军事武器知识库，该项目不使用图数据库进行存储，通过jieba进行问句解析，问句实体项识别，基于查询模板完成多类问题的查询，主要是提供一种工业界的问答**demo。

qasystemonmedicalkg

A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

qichacha_patent_file_download

企查查专利文件下载工具

qing_gan

reptile

网络爬虫案例

rh-s-pytool

行政区域坐标数据、行政区域名称补全/查询；综合指标评价方法

rnn-cnn

rong360

用户贷款风险预测

semantic-similarity

semantic similarity， word2vec + wmd， bert+wmd， pytorch

sentiment-analysis-keras-flask

A simple web service to predict Sentiment using CNN.

sentimentanalysis

文本情感分析

seq

seq2seq

keras example of seq2seq, auto title

seq2seq-couplet

Play couplet with seq2seq model. 用深度学习对对联。

seq2seq_chatbot_new

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

seq2seq_pointer_generator_summarizer

A deep learning neural network for abstractive deep summarization

sequence-labeling-bilstm-crf

BiLSTM-CRF joint model for tasks like sequence labeling using char/word level embeddings in Tensorflow

shibie_guanjian

shufflenet-1g8-pytorch

Model shared. Top1:67.408/Top5:87.258

shujv_chuli

shujvku

spider_python

python爬虫

spiders

各种爬虫：爱企查爬虫，网上114企业信息爬虫，抖音视频爬虫，wipo爬虫， 专利信息爬虫（patentscope）

synonyms

:herb: 中文近义词：聊天机器人，智能问答工具包

tensorflow-tutorial

Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.

tensorflow-vgg16-train-and-test

The purpose of this program is for studying. Using tensorflow trains the vgg16 and recognizes only two kinds of picture(cat and dog).

tensorflow-wide-deep-local-prediction

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model