Yun Zhao (zhaoyun630)

zhaoyun630

Geek Repo

Company:CloudWalk

Location:Shanghai, China

Home Page:https://zhaoyun630.github.io/

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Yun Zhao's repositories

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esim-response-selection

ESIM for Multi-turn Response Selection Task

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Algorithm_for_Interview-Chinese

Algorithm for Interview(面试算法笔记-中文)

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BERT_ChineseWordSegment

A Chinese word segment model based on BERT, F1-Score 97%

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buildVpn

图文教程搭建一个vpn翻墙

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e2e_dialog_challenge

End-To-End Task-Completion Dialogue Challenge

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GPT2-Chinese

Chinese version of GPT2 training code, using BERT tokenizer.

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GPT2-chitchat

GPT2 for Chinese chitchat/用于中文闲聊的GPT2模型(实现了DialoGPT的MMI**)

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interview_internal_reference

2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。

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kaldi

This is the official location of the Kaldi project.

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kaldi-dnn-ali-gop

Forced alignment and Goodness of Pronunciation (GOP) with DNN support. Bases on Kaldi.

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leetcode

LeetCode题解,151道题完整版

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lstmlm-example

语言建摸示例 - LSTM语言模型

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material-db

Scietific database server

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nlp-beginner

NLP上手教程

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nlp_xiaojiang

自然语言处理(nlp),小姜机器人(闲聊检索式chatbot),BERT句向量-相似度(Sentence Similarity),XLNET句向量-相似度(text xlnet embedding),文本分类(Text classification), 实体提取(ner,bert+bilstm+crf),数据增强(text augment, data enhance),同义句同义词生成,句子主干提取(mainpart),中文汉语短文本相似度,文本特征工程,keras-http-service调用

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NLPer-Interview

该仓库主要记录 NLP 算法工程师相关的面试题

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PeopleDaily1998

人民日报1998年1-4月中文标注语料库

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pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

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R-NET-in-Keras

R-NET implementation in Keras.

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Reflection_Summary

算法理论基础知识应知应会

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RPN_KWS

Region proposal network based small-footprint keyword spotting (Pytorch)

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SemBERT

Semantics-aware BERT for Language Understanding (AAAI 2020)

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seq2seq-chatbot

Chatbot in 200 lines of code using TensorLayer

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SQuAD-explorer

Visually Explore the Stanford Question Answering Dataset

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tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

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