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ant-design-pro

👨🏻‍💻👩🏻‍💻 Use Ant Design like a Pro!

anything-llm

A multi-user ChatGPT for any LLMs and vector database. Unlimited documents, messages, and storage in one privacy-focused app. Now available as a desktop application with a built-in LLM!

app-version

APP版本管理是一套多应用更新发版的管理平台。用户可以通过部署本管理系统，以实现对多APP的多平台多渠道上的版本管理。

appointment-booking-next

A doctors appointment Booking App made with Next.JS & Strapi CMS

arduino_mfrc522v2

assemblyai-applications

Here is a collection of cool applications that I've built with AssemblyAI

big-brain

borcella_admin

borcella_store

bxc_videoanalyzer_v4

基于C++开发的视频行为分析系统v4系统，可以在不用考虑音视频开发，编解码开发，界面开发等情况下， 只需要训练自己的模型，开发自己的算法插件，就可以轻松实现出任何想要的视频行为检测，比如周界入侵，烟火检测，打架，斗殴，跌倒，人群聚集，电动车，垃圾箱，抽烟，攀爬，离岗睡岗，安全帽，充电桩，工作服， 疲劳检测，交通拥堵等等。

chattts

ChatTTS is a generative speech model for daily dialogue.

convex-demos

Demo apps built on Convex.

corteza

Low-code platform

dashboard-ui-with-reactjs

dataease

:fire: 人人可用的开源数据可视化分析工具，帆软、Tableau 等商业 BI 工具的开源替代。

detection-tracking-and-counting-with-yolov9-and-supervision

Detection, Tracking, and Counting with YOLOv9 and Supervision

dify

An Open-Source Assistants API and GPTs alternative. Dify.AI is an LLM application development platform. It integrates the concepts of Backend as a Service and LLMOps, covering the core tech stack required for building generative AI-native applications, including a built-in RAG engine.

documenso

The Open Source DocuSign Alternative.

document_management_system

dopla-starter

emqx

The most scalable open-source MQTT broker for IoT, IIoT, and connected vehicles

equipment-management-system

erp

A Multitenant ERP web application.

file-drive-04

finetune

Fine-tuning Llama-3-8B on the MathInstruct dataset

fuzzie-production

iot-warehousemanagement

This pro

jsondemo

A demo repository for My JSON Server (Alpha)

llm-analyst

LLM powered agent that analyses SQL databases.

llm-sql-project

This is an end to end LLM project based on Google Palm and Langchain. Built a system that can talk to MySQL database where user asks questions in a natural language and the system generates answers by converting those questions to an SQL query and then executing that query on MySQL database.