Pinned Repositories
AnyQ
FAQ-based Question Answering System
Awsome-Front-End-Xmind
通过思维导图的方式来学习前端，将思维形象化，串联知识点，系统学习前端知识，提高学习效率，加深记忆
BERT-chinese-text-classification-and-deployment
简单高效的Bert中文文本分类模型开发和部署，CPU上毫秒级预测
bert_tokenization_for_java
This is a java version of Chinese tokenization descried in BERT.
cosin
🌲 春松客服: 多渠道智能客服系统
mall-learning
mall学习教程，架构、业务、技术要点全方位解析。mall项目（25k+star）是一套电商系统，使用现阶段主流技术实现。 涵盖了SpringBoot2.1.3、MyBatis3.4.6、Elasticsearch6.2.2、RabbitMQ3.7.15、Redis3.2、Mongodb3.2、Mysql5.7等技术，采用Docker容器化部署。
sentence-transformers
Sentence Embeddings with BERT & XLNet
text_renderer
Generate text images for training deep learning ocr model
TextGenerator
OCR dataset Text-Detection dataset Font-Classification dataset generator
wzl
wzl789139's Repositories
wzl789139/AnyQ
FAQ-based Question Answering System
wzl789139/Awsome-Front-End-Xmind
通过思维导图的方式来学习前端，将思维形象化，串联知识点，系统学习前端知识，提高学习效率，加深记忆
wzl789139/BERT-chinese-text-classification-and-deployment
简单高效的Bert中文文本分类模型开发和部署，CPU上毫秒级预测
wzl789139/bert_tokenization_for_java
This is a java version of Chinese tokenization descried in BERT.
wzl789139/cosin
🌲 春松客服: 多渠道智能客服系统
wzl789139/mall-learning
mall学习教程，架构、业务、技术要点全方位解析。mall项目（25k+star）是一套电商系统，使用现阶段主流技术实现。 涵盖了SpringBoot2.1.3、MyBatis3.4.6、Elasticsearch6.2.2、RabbitMQ3.7.15、Redis3.2、Mongodb3.2、Mysql5.7等技术，采用Docker容器化部署。
wzl789139/sentence-transformers
Sentence Embeddings with BERT & XLNet
wzl789139/text_renderer
Generate text images for training deep learning ocr model
wzl789139/TextGenerator
OCR dataset Text-Detection dataset Font-Classification dataset generator
wzl789139/wzl