Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

All the open source AI Agents hosted on the oTTomator Live Agent Studio platform!

Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

Let your Claude able to think

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

quick tutorial with agency swarm for websearch use case

A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

Python scraper based on AI

Build your own second brain with supermemory. It's a ChatGPT for your bookmarks. Import tweets or save websites and content using the chrome extension.

🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper

📄 A curated list of awesome .cursorrules files

SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.

Accurate answers and instant citations for your documents.

Streamlit LLM app examples for getting started

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

Plugin with C# Civil3D API that Creates a Profile from a Polyline

A visual no-code/code-free web crawler/spider易采集：一个可视化浏览器自动化测试/数据采集/爬虫软件，可以无代码图形化的设计和执行爬虫任务。别名：ServiceWrapper面向Web应用的智能化服务封装系统。

Curated list of project-based tutorials

an implementation of the Analytical Hierarchy Process in MATLAB

I USED PYTHON TO IMPLEMENT AN ASSIGNMENT GIVEN TO ME IN UNIVERSITY OF LAGOS

pyDecision is a comprehensive Python library that encompasses a wide array of Multi-Criteria Decision Analysis (MCDA) methods. These powerful and versatile tools assist in making effective decision…

Python library to perform Analytic Hierarchy Process.

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

🦜⛏️ Did you say you like data?