Embedding Studio is a framework which allows you transform your Vector Database into a feature-rich Search Engine.
-
Updated
Mar 15, 2024 - Python
Embedding Studio is a framework which allows you transform your Vector Database into a feature-rich Search Engine.
The official code repository supporting the book, Grokking Artificial Intelligence Algorithms
Fuzzy and semantic search for captioned YouTube videos.
Experimental Audio Search Algorithm Implementation (Shazam demo)
Coursera's Data Structures and Algorithms Specialization
A lightweight and efficient Python Morton encoder with support for geo-hashing
LatPlan : A domain-independent, image-based classical planner
An implementation of a mobile robot path planner in Python and ROS
Document Search Engine Tool
Get Lyrics for any songs by just passing in the song name (spelled or misspelled) in less than 2 seconds using this awesome Python Library.
Matcher is a tool for understanding how chemical structure optimization problems have been solved. Matcher enables deep control over searching structure/activity relationships (SAR) derived from large datasets, and takes the form of an accessible web application with simple deployment. Matcher is built around the mmpdb platform.
推箱子解决方案 sokoban AI solver
Search algorithms(BFS, DFS, UCS, A*) in python.Berkeley Pacman Project 1.
Solve, test and benchmark algorithms for N-Puzzle problem with Python
Implementation for A-star and BFS Algorithms to solve a NxN grid sliding puzzle problem.
Large Scale Search Index
Approximate fuzzy subgraph matching in polynomial time
🔍 Search Engine/web crawler python script
Aulas e exercícios da matéria: Sistemas inteligentes (INE5633).
My codes for CSE221 Brac University in Python 3.
Add a description, image, and links to the search-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the search-algorithm topic, visit your repo's landing page and select "manage topics."