This project is a Python script that scrapes data from a Gumroad site, generates a colorful and well-designed HTML page using OpenAI's GPT-4 model, and deploys the generated page to Vercel.

An official OpenAI toolkit for social scientists and data scientists to measure quantitative attributes in text, images, or audio using the GPT API.

QnA with NodeJS & OpenAI GPT models on Personal / Business data using Embeddings and Completion

Data about 349K OpenAI Custom GPTs

GuardRail: Advanced tool for data analysis and AI content generation using OpenAI GPT models. Features sentiment analysis, content classification, trend analysis, and tailored GPT model usage. Ideal for content moderation, customer support, and market research.

This open source chatbot project lets you create a chatbot that uses your own data to answer questions, thanks to the power of the OpenAI GPT-3.5 model.

ChatGPT built with Next.js 13 app directory and Tailwind CSS using OpenAI's API sdk v4 and GPT-4 and SSR streaming for data with edge functions.

📈 TrendsGPT: An AI-powered tool harnessing OpenAI's GPT-4 to automate market research and data analysis. Fetches trending topics from Reddit, analyzes sentiment, extracts insights, fact checks on google trends and recommends creative content.

langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.

SunnahGPT is a natural language processing (NLP) project aimed at scraping hadith data from the popular website sunnah.com and applying OpenAI's GPT-3.5 model to generate textual embeddings for each hadith

Welcome to GPTNicheFinder, a powerful niche research tool powered by Google Trends data and OpenAI's GPT model. This application provides a streamlined approach to identify profitable niche markets by leveraging data-driven insights and cutting-edge artificial intelligence.

This sample demonstrates how to use GPT-4o with Vision to extract structured JSON data from PDF documents, such as invoices, using the Azure OpenAI Service.

🚀 openai_pricing_logger: Track & log OpenAI API costs with ease. A Python package for monitoring GPT-3.5-turbo & GPT-4 usage costs. Lightweight, automatic cost logging. Ideal for developers, data scientists. OpenAI cost tracking, API logging, Python, GPT models

This is a trading script for KuCoin that continuously places buy and sell orders based on market data and a predictive model generated by OpenAI's GPT-3.5 language model.

Use Large Language Models like OpenAI's GPT-3.5 for data annotation and model enhancement. This framework combines human expertise with LLMs, employs Iterative Active Learning for continuous improvement, and integrates CleanLab (Confident Learning) to ensure high-quality datasets and better model performance

Data and materials to reproduce Bloomberg's investigation into racial and gender bias in OpenAI's GPT

What does gpt-oss tell us about OpenAI's training data?

Code for building specialized RAG systems using PDF documents with OpenAI Assistant API for GPT and LLaMA models, covering the full pipeline from data collection to generation.

This sample demonstrates how to use Document Intelligence's Layout model to convert a PDF document, such as invoices, into Markdown, then use GPT-3.5 Turbo to extract structured JSON data using the Azure OpenAI Service.

A laravel package that provides sentiment analysis capabilities using OpenAI's GPT to easily analyze text-based data and gain insight into the underlying sentiment.

This is a template repository for building a web scraper with OpenAI support. The repository provides a basic project structure with TypeScript and Puppeteer pre-configured, as well as OpenAI's GPT-3 API integration. With this template, you can easily build a scraper that uses machine learning to analyze and extract insights from the scraped data.

A Twitter/X scraper built with Playwright for browser automation and OpenAI GPT-4 for AI-powered tweet analysis. Features timeline scraping, historical search, keyword search, checkpoint/resume, proxy support, and comprehensive data extraction.

PyScreen is an AI-powered tool that extracts, analyzes, and visualizes data from screen recordings. It leverages advanced computer vision, text processing, and AI techniques to provide valuable insights such as dominant color schemes, frequently used words, and content descriptions using OpenAI's GPT-4 model.

Build a trading bot with OpenAI GPT-3.5, real-time data and prompt experimentation

This tool offers an interactive way to analyze and understand your screenshots using OpenAI's GPT-4 Vision API. Capture any part of your screen and engage in a dialogue with ChatGPT to uncover detailed insights, ask follow-up questions, and explore visual data in a user-friendly format.

Datasette enrichment for analyzing row data using OpenAI's GPT models

This project demonstrates how to parse emails, process them using OpenAI's GPT-3.5, and load the data into a Weaviate vector database for enhanced search capabilities. Utilizing few-shot prompts and parallel processing, it showcases the power of combining NLP techniques with vector search.

A trading script for KuCoin that continuously places buy and sell orders based on market data and a predictive model by OpenAI's GPT-3.5

This repository demonstrates how to leverage OpenAI's GPT-4 models with JSON Strict Mode to extract structured data from web pages. It combines web scraping capabilities from Firecrawl with OpenAI's advanced language models to create a powerful data extraction pipeline.

🤖 Robo Advisor 📈: A powerful Python-based Robo Advisor using OpenAI's Chat GPT, FastAPI, and financial data for intelligent investment advice. 💰🚀