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  • 👋 Hi, I’m @L-WWEEII
  • 👀 I’m interested in NLP/Multimodal.
  • 🌱 I’m currently learning at Peking University.
  • 💞️ I’m looking to collaborate on ...
  • 📫 How to reach me [email protected]

Hi there 👋

RunxinXu

This is [google scholar].

Currently I am a first-year Master's student at Peking University under the supervision of Prof. .

My research interests mainly lie in natural language processing, especially 1) NLP , and 2) MultiModal.

Profile Summary

summary

Memeda_LWW's Projects

awesome-chatbot icon awesome-chatbot

Awesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>:

chatbot icon chatbot

一个可以自己进行训练的中文聊天机器人, 根据自己的语料训练出自己想要的聊天机器人,可以用于智能客服、在线问答、智能聊天等场景。目前包含seq2seq、seqGAN版本和tf2.0版本。

chef icon chef

The source code of paper "CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking"

cs-notes icon cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

cssummercamp2021 icon cssummercamp2021

关于2021年CS保研夏令营通知公告的汇总。欢迎大家积极分享夏令营信息,资瓷一下互联网精神吼不吼啊?

customer-chatbot icon customer-chatbot

中文智能客服机器人demo,包含闲聊和专业问答2个部分,支持自定义组件(Chinese intelligent customer chatbot Demo, including the gossip and the professional Q&A(FAQ) , support for custom components!)

deeplearning icon deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

fucking-algorithm icon fucking-algorithm

刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.

gobang_ai icon gobang_ai

基于博弈树α-β剪枝搜索的五子棋AI

learn_python3_spider icon learn_python3_spider

python爬虫教程系列、从0到1学习python爬虫,包括浏览器抓包,手机APP抓包,如 fiddler、mitmproxy,各种爬虫涉及的模块的使用,如:requests、beautifulSoup、selenium、appium、scrapy等,以及IP代理,验证码识别,Mysql,MongoDB数据库的python使用,多线程多进程爬虫的使用,css 爬虫加密逆向破解,JS爬虫逆向,分布式爬虫,爬虫项目实战实例等

nlp-journey icon nlp-journey

NLP 相关的一些文档、论文及代码, 包括主题模型(Topic Model)、词向量(Word Embedding)、命名实体识别(Named Entity Recognition)、文本分类(Text Classificatin)、文本生成(Text Generation)、文本相似性(Text Similarity)计算、机器翻译(Machine Translation)等,涉及到各种与nlp相关的算法,基于tensorflow 2.0。

redis icon redis

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes

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