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moshilangzi's Projects

abu icon abu

阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构

adam_qas icon adam_qas

ADAM - A Question Answering System. Inspired from IBM Watson

assister icon assister

Private Open General Assistant Platform

avbook icon avbook

AV 电影管理系统, avmoo , javbus , javlibrary 爬虫,线上 AV 影片图书馆,AV 磁力链接数据库,Japanese Adult Video Library,Adult Video Magnet Links - Japanese Adult Video Database

awesome-bert icon awesome-bert

bert nlp papers, applications and github resources, including the newst xlnet , BERT、XLNet 相关论文和 github 项目

bert icon bert

TensorFlow code and pre-trained models for BERT

bert-bilstm-crf-ner icon bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

bert-for-sequence-labeling-and-text-classification icon bert-for-sequence-labeling-and-text-classification

This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.

bert-kbqa-nlpcc2017 icon bert-kbqa-nlpcc2017

A trial of kbqa based on bert for NLPCC2016/2017 Task 5 (基于BERT的中文知识库问答实践,代码可跑通)

bootdo icon bootdo

SpringBoot+Thymeleaf+shiro+activity+vue.js 敏捷ERP+OA+CRM开发

cnn-lstm-bilstm-deepcnn-clstm-in-pytorch icon cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In PyTorch Learing Neural Networks Likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

crimekgassitant icon crimekgassitant

Crime assistant including crime type prediction and crime consult service based on nlp methods and crime kg,罪名法务智能项目,内容包括856项罪名知识图谱, 基于280万罪名训练库的罪名预测,基于20W法务问答对的13类问题分类与法律资讯问答功能.

customer_satisfaction_analysis icon customer_satisfaction_analysis

基于在线民宿UGC数据的意见挖掘项目,包含数据挖掘和NLP相关的处理,负责数据采集、主题抽取、情感分析等任务。开发的目的是克服用户打分和评论不一致,实时对重庆地区在线民宿的满意度进行评测,使用Python实现了在线评论采集和情感可视化分析。搭建了百度地图POI查询入口,可以进行自动化的批量查询POI信息的功能;构建了基于在线民宿语料的Word2vec主题聚类模型,利用主题中心词能找出对应的主题属性字典;以用户打分作为标注,然后通过实验贝叶斯、SVM、决策树等多种分类模型,最后选用贝叶斯模型进行情感分析,将情感分类概率分布作为情感趋势,最后通过POI热力图的方式对不同地域的民宿满意度进行展示。软件版本请见链接。

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

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