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Dawar Azhar's Projects

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

chatgpt-solidworks-sketch-automation-voice-enabled icon chatgpt-solidworks-sketch-automation-voice-enabled

Initial setup of the project for automating sketch creation in SOLIDWORKS using ChatGPT API and speech recognition. Includes project structure, necessary files, and README with installation and usage instructions.

chatgpt-ui-users icon chatgpt-ui-users

A ChatGPT web client that supports multiple users, multiple database connections for persistent data storage, supports i18n. Provides Docker images and quick deployment scripts.

chatgpt-web-share icon chatgpt-web-share

共享 ChatGPT 账号给多用户同时使用!A web application that allows multiple users to share one ChatGPT account at the same time, developed using fastapi & vue3. Supports GPT-4! 用于朋友之间共享或合租 ChatGPT 账号。使用 FastAPI + Vue3 开发。支持 ChatGPT Plus / 使用 GPT-4 / 用户请求限制等功能。

privategpt icon privategpt

Interact privately with your documents using the power of GPT, 100% privately, no data leaks

pysolidworks-openai-compatible icon pysolidworks-openai-compatible

pySolidWorks is a collection of Python routines to interact with SolidWorks. Using pySolidWorks, you can open a SolidWorks model from within Python, modify feature dimensions, export DXF, carry out a finite element analysis, etc.

shopwave-ecommerce-platform icon shopwave-ecommerce-platform

ShopWave is a modern, user-friendly e-commerce platform designed to provide a seamless online shopping experience. Built with Golang and Angular, ShopWave caters to both small businesses and larger enterprises, offering a robust and scalable solution for setting up an online store.

text-generation-webui icon text-generation-webui

A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.

visualblocks icon visualblocks

Visual Blocks for ML is a Google visual programming framework that lets you create ML pipelines in a no-code graph editor. You – and your users – can quickly prototype workflows by connecting drag-and-drop ML components, including models, user inputs, processors, and visualizations.

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