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Type: User
Location: shanghai
Type: User
Location: shanghai
在某公司参与的知识图谱相关项目-代码与数据集
KnowYou,a framwork of AI with agent profile and user profile。知你,使用用户画像和AI个性来构建chatbot的框架
知识付费套利(Knowledge payment arbitrage)
Shared repository for open-sourced projects from the Google AI Language team.
提出基于划分的LDA主题模型 (PLDA)。对传统LDA模型进行改进,考虑中长篇文档篇章结构较为清晰,传统LDA在处理中长篇文档时不能识别每个篇章的主题,提出基于划分的LDA主题模型,对中长篇文档如新闻报道】国务院工作报告等按照段落进行划分,先拆后合,并将其效果与传统LDA、LSI及doc2vec进行比较。基于Sougou和Fudan语料库的分类实验验证了PLDA效果最优。
用gensim训练LDA模型,进行新闻文本主题分析
Leaderboards, Datasets and Papers for Multi-Turn Response Selection in Retrieval-Based Chatbots
莱斯杯:全国第二届“军事智能机器阅读”挑战赛 - Rank7 解决方案
2019语言与智能技术竞赛-基于知识图谱的主动聊天
基于Pytorch和torchtext的知识图谱深度学习框架,包含知识表示学习、实体识别与链接、实体关系抽取、事件检测与抽取、知识存储与查询、知识推理六大功能模块,已实现了命名实体识别、关系抽取、事件抽取、表示学习等功能。框架功能丰富,开箱可用,极易上手!基本都是学习他人实现然后自己修改融合到框架中,没有细致调参,且有不少Bug~
lightsmile个人的用于爬取网络公开语料数据的mini通用爬虫框架。
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
《统计学习方法》的代码实现
Representation learning for link prediction within social networks
Solution for Tsinghua Data Science Winter School 2017
从新浪财经、每经网、金融界、**证券网、证券时报网上,爬取上市公司(个股)的历史新闻文本数据进行文本分析、提取特征集,然后利用SVM、随机森林等分类器进行训练,最后对实施抓取的新闻数据进行分类预测
针对保险话术培训场景设计的陪练机器人/培训机器人的demo
The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".
PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".
An Extensible Conversational Information Seeking Platform
Python实现经典分类回归、关联分析、聚类以及推荐算法等
Basic Machine Learning and Deep Learning
My blogs and code for machine learning. http://cnblogs.com/pinard
自然语言处理工具Macropodus,基于Albert+BiLSTM+CRF深度学习网络架构,中文分词,词性标注,命名实体识别,新词发现,关键词,文本摘要,文本相似度,科学计算器,中文数字阿拉伯数字(罗马数字)转换,中文繁简转换,拼音转换。tookit(tool) of NLP,CWS(chinese word segnment),POS(Part-Of-Speech Tagging),NER(name entity recognition),Find(new words discovery),Keyword(keyword extraction),Summarize(text summarization),Sim(text similarity),Calculate(scientific calculator),Chi2num(chinese number to arabic number)
Task-oriented Dialog Policy Learning with Multi-Agent Reinforcement Learning
关于机器学习,深度学习,自然语言处理等各种算法的实现、示例,与博客文章配套,论文复现等
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.