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liangxd'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

basic_cnns_tensorflow2 icon basic_cnns_tensorflow2

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2).

bootcamp icon bootcamp

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

chinese-annotator icon chinese-annotator

Annotator for Chinese Text Corpus (UNDER DEVELOPMENT) 中文文本标注工具

chinese_ocr icon chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

deep-summarization icon deep-summarization

Uses Recurrent Neural Network (LSTM/GRU/basic_RNN units) for summarization of amazon reviews

deep_text_matching icon deep_text_matching

implementation several deep text match (text similarly) models for keras . cdssm, arc-ii,match_pyramid, mvlstm ,esim, drcn ,bimpm, bert, albert, raberta

deepdriver icon deepdriver

DeepDriver is a JAVA framework of Deep Learning, it supports ANN/CNN/DNN/RNN/LSTM now, hope it can be widely used for deep learning development.

deeplearning4j icon deeplearning4j

Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark

dive-into-dl-tensorflow2.0 icon dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》中的Mxnet代码改为Tensorflow2.0实现,项目已得到李沐老师的同意

entity-relation-extraction icon entity-relation-extraction

Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取,2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019

faster-rcnn-pytorch icon faster-rcnn-pytorch

这是一个faster-rcnn的pytorch实现的库,可以利用voc数据集格式的数据进行训练。

hanlp icon hanlp

中文分词 词性标注 命名实体识别 依存句法分析 语义依存分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

kbqa-for-diagnosis icon kbqa-for-diagnosis

Knowledge Graph,Question Answering System,基于知识图谱和向量检索的医疗诊断问答系统

keyword_extraction icon keyword_extraction

利用Python实现中文文本关键词抽取,分别采用TF-IDF、TextRank、Word2Vec词聚类三种方法。

mall icon mall

mall项目是一套电商系统,包括前台商城系统及后台管理系统,基于SpringBoot+MyBatis实现,采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。

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