Base on Vue 2.x and ElementUI，基于 Bpmn.js、Vue 2.x 和 ElementUI 的流程编辑器（前端部分），支持监听器，扩展属性，表单等配置，可自由扩展

Collect, aggregate, and visualize a data ecosystem's metadata

🔥 flowable workflow designer based on vue and bpmn.io@7.0

仿钉钉审批流程设置

闻达：一个LLM调用平台。为小模型外挂知识库查找和设计自动执行动作，实现不亚于于大模型的生成能力

后端架构师技术图谱

智数通提供了元数据管理、数据标准管理、数据质量管理、主数据管理、数据集市管理、可视化图表看板、流程管理等微服务，是为数字化建设而生的企业级一站式数据治理平台。

An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.

Utility classes for working with Apache Solr.

Convert CAJ (China Academic Journals) files to PDF. 转换中国知网 CAJ 格式文献为 PDF。佛系转换，成功与否，皆是玄学。

PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb

Native Operating System and Hardware Information

A library for efficient similarity search and clustering of dense vectors.

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search sc…

A wrapper executable that can run any executable as a Windows service, in a permissive license.

EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings

SimCSE在中文上的复现，有监督+无监督

PyQt Examples（PyQt各种测试和例子） PyQt4 PyQt5

中文无监督SimCSE Pytorch实现

Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. WSDM 2021.

TensorFlow implementation of On the Sentence Embeddings from Pre-trained Language Models (EMNLP 2020)

Solr Redis Extensions

CCKS2020 面向中文短文本的实体链指任务。主要思路为：使用基于BiLSTM和Attention的语义模型进行Query和Doc的文本匹配，再针对匹配度进行pairwise排序，从而选出最优的知识库实体。

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Must-read papers on entity alignment published in recent years

Chinese NewsTitle Generation Project by GPT2.带有超级详细注释的中文GPT2新闻标题生成项目。

This repository contains a Chinese KBQA dataset expanded from CCKS CKBQA Competition Dataset.

本项目是NLP领域一些任务的基准模型实现，包括文本分类、命名实体识别、实体关系抽取、NL2SQL、CKBQA以及BERT的各种下游任务应用。

Event-driven networking engine written in Python.

Sentence Embeddings with BERT & XLNet