Popular GitHub Repositories for Knights Tour

A guided tour on how to use HuggingFace large language models on Macs with Apple Silicon

A tour through recommendation algorithms in python [IN PROGRESS]

Code for "Word Tour: One-dimensional Word Embeddings via the Traveling Salesman Problem" (NAACL 2022)

Food tour planner using LangChain DeepAgents, Google Maps API, and Tavily research. Explore multi-agent coordination patterns: task delegation via SubAgentMiddleware, planning with TodoListMiddleware

Champion at BUET CSE FEST 2024 Hackathon - EasyTrip is an AI-powered platform that simplifies travel planning by generating smart itineraries, integrating interactive maps and weather updates, and automating content creation like blogs and vlogs.

Food tour planner using LangChain DeepAgents, Google Maps API, and Tavily research. Explore multi-agent coordination patterns: task delegation via SubAgentMiddleware, planning with TodoListMiddleware

Intelligent tour management system using multiple specialized agents to handle availability queries, cancellations, and reviews through a conversational interface.

rasa bot virtual assitant, on campus tour guide

Can the knight visit every square on the chessboard exactly once?, This is where the genetic algorithm steps in: by evolving generations of possible tours, selecting the most promising ones, it gradually guides the knight toward the perfect journey one that covers every square exactly once

Dive into the world of advanced language understanding with Advanced_RAG. These Python notebooks offer a guided tour of Retrieval-Augmented Generation (RAG) using the Langchain framework, perfect for enhancing Large Language Models (LLMs) with rich, contextual knowledge.

A conversational AI agent which acts as a tour guide, identifying landmarks and answering all questions related to it!

Knights and Knaves puzzle

A Mistral-based chatbot for answers questions about past and present PGA Tour data. It uses Python scripts to query the PGA Tour website via GraphQL queries to fetch up-to-date data, which is stored in a ChromaDB. An LLM retrieves relevant data from the database to answer user questions accurately. A Gradio frontend makes it easy to interact with.

A Python-based RAG system for managing 2025–2026 concert tour info. Supports CLI & Streamlit UI, with LLM integration (Google Gemini & Hugging Face) for document ingestion, summarization, and Q&A.