Pinned Repositories
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
AI-RecommenderSystem
该仓库尝试整理推荐系统领域的一些经典算法模型
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
annotated-transformer
http://nlp.seas.harvard.edu/2018/04/03/attention.html
Awesome-PyTorch-Chinese
【干货】史上最全的PyTorch学习资源汇总
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
bert
TensorFlow code and pre-trained models for BERT
email-summarization
A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.
Machine-Learning-From-Scratch
常用机器学习的算法简洁实现
skip-thoughts
Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"
iszhuangsha's Repositories
iszhuangsha/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
iszhuangsha/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
iszhuangsha/Awesome-PyTorch-Chinese
【干货】史上最全的PyTorch学习资源汇总
iszhuangsha/bert
TensorFlow code and pre-trained models for BERT
iszhuangsha/bert-use-demo
the demo for bert
iszhuangsha/bert_language_understanding
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
iszhuangsha/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。
iszhuangsha/Chinese_segment_augment
python3实现互信息和左右熵的新词发现
iszhuangsha/ChineseNER
中文命名实体识别,实体抽取,tensorflow,pytorch,BiLSTM+CRF
iszhuangsha/Deep-Learning-21-Examples
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
iszhuangsha/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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
iszhuangsha/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。
iszhuangsha/KnowledgeGraphCourse
东南大学《知识图谱》研究生课程
iszhuangsha/KnowledgeGraphSlides
KnowledgeGraphSlides, a collection of knowledgegraph lectures, including the ccks series from 2013 to 2018, 中文知识图谱计算会议CCKS报告合集,涵盖从2013年至2018年,共48篇,从中可以看出从谷歌2012年推出知识图谱以来,**学术界及工业界这6年来知识图谱的主流**变迁。
iszhuangsha/LtpExtraction
基于ltp的简单评论观点抽取模块
iszhuangsha/models
Models and examples built with TensorFlow
iszhuangsha/neo4j-python-pandas-py2neo-v3
利用pandas将excel中数据抽取,以三元组形式加载到neo4j数据库中构建相关知识图谱
iszhuangsha/OpenNRE
An Open-Source Package for Neural Relation Extraction (NRE) implemented in TensorFlow
iszhuangsha/PersonRelationKnowledgeGraph
ChinesePersonRelationGraph, person relationship extraction based on nlp methods.中文人物关系知识图谱项目,内容包括中文人物关系图谱构建,基于知识库的数据回标,基于远程监督与bootstrapping方法的人物关系抽取,基于知识图谱的知识问答等应用。
iszhuangsha/Python
All Algorithms implemented in Python
iszhuangsha/pytorch-generative-adversarial-networks
A very simple generative adversarial network (GAN) in PyTorch
iszhuangsha/pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
iszhuangsha/RUSBoost
Classifier of imbalanced data by boosting with random under sampling
iszhuangsha/stock-knowledge-graph
利用网络上公开的数据构建一个小型的证券知识图谱/知识库
iszhuangsha/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
iszhuangsha/tensorflow_practice
tensorflow实战练习,包括强化学习、推荐系统、nlp等
iszhuangsha/transformer
A TensorFlow Implementation of the Transformer: Attention Is All You Need
iszhuangsha/transformer-xl
iszhuangsha/xlnet-Pytorch
Simple XLNet implementation with Pytorch Wrapper
iszhuangsha/xlnet-pytorch-1
An implementation of Google Brain's 2019 XLNet in PyTorch