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George Chen's Projects

blog icon blog

A minimal, responsive and feature-rich Jekyll theme for technical writing.

chatgpt-plus icon chatgpt-plus

AI 助手全套开源解决方案,自带运营管理后台,开箱即用。集成了 ChatGPT, Azure, ChatGLM,讯飞星火,文心一言等多个平台的大语言模型。支持 MJ AI 绘画,Stable Diffusion AI 绘画,微博热搜等插件工具。采用 Go + Vue3 + element-plus 实现。

clearmeasurebootcamp icon clearmeasurebootcamp

This application demonstrates a wide array of concepts useful in the development of business-critical software systems - including automated builds, test-driven development, full-system testing, load testing, onion architecture, CQRS, ORM, database migrations, etc.

coursera icon coursera

Coursa course: Computational Investing homework

dify icon dify

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

droidboard icon droidboard

DroidBoard is an Android kanban board uses Agilezen as a story store

ecoute icon ecoute

Ecoute is a live transcription tool that provides real-time transcripts for both the user's microphone input (You) and the user's speakers output (Speaker) in a textbox. It also generates a suggested response using OpenAI's GPT-3.5 for the user to say based on the live transcription of the conversation.

hellomvc icon hellomvc

A sample project to show how to containerize an ASP.Net Core MVC application

in-stock icon in-stock

An iOS app that checks product availability in nearby Apple Stores

kindlehog icon kindlehog

Kindle hog is a RSS feeding tool for Kindlers.

postmaster icon postmaster

Postmaster will monitor a post and automatically reply at certain condition

practicalmachinelearning_course_project icon practicalmachinelearning_course_project

Using devices such as Jawbone Up, Nike FuelBand, and Fitbit it is now possible to collect a large amount of data about personal activity relatively inexpensively. These type of devices are part of the quantified self movement – a group of enthusiasts who take measurements about themselves regularly to improve their health, to find patterns in their behavior, or because they are tech geeks. One thing that people regularly do is quantify how much of a particular activity they do, but they rarely quantify how well they do it. In this project, your goal will be to use data from accelerometers on the belt, forearm, arm, and dumbell of 6 participants. They were asked to perform barbell lifts correctly and incorrectly in 5 different ways. More information is available from the website here: http://groupware.les.inf.puc-rio.br/har (see the section on the Weight Lifting Exercise Dataset).

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