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iszhuangsha's Projects

agriculture_knowledgegraph icon agriculture_knowledgegraph

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

bert icon bert

TensorFlow code and pre-trained models for BERT

causalityeventextraction icon causalityeventextraction

Causality event extraction demo project including casual patterns and experiment on large scale corpus. 基于因果关系知识库的因果事件图谱实验项目，本项目罗列了因果显式表达的几种模式，基于这种模式和大规模语料，再经过融合等操作，可形成因果事件图谱。

chinesener icon chinesener

中文命名实体识别，实体抽取，tensorflow，pytorch，BiLSTM+CRF

cluener2020 icon cluener2020

A PyTorch implementation of a BiLSTM\BERT\Roberta(+CRF) model for Named Entity Recognition.

cnn-dailymail icon cnn-dailymail

Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization (Python3)

ctr_algorithm icon ctr_algorithm

一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... （pytorch, tf2.0）

deep-learning-in-production icon deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deeplearning icon deeplearning

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

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，50余万字。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

dialogue-gan icon dialogue-gan

Generative Adversarial Network to Develop Synthetic Dialogues

easy-rl icon easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

email-summarization icon email-summarization

A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.

eventtriplesextraction icon eventtriplesextraction

An experiment and demo-level tool for text information extraction (event-triples extraction), which can be a route to the event chain and topic graph, 基于依存句法与语义角色标注的事件三元组抽取，可用于文本理解如文档主题链，事件线等应用。

fun-rec icon fun-rec

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

gpt-2-pytorch icon gpt-2-pytorch

Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

interview_internal_reference icon 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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