search-algorithms

A collection of algorithms and data structures

Hardware-accelerated vector database and search engine. Available as a HTTP service or as an embedded library.

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

Source Code for the Book Classic Computer Science Problems in Swift

Execute genetic algorithm (GA) simulations in a customizable and extensible way.

This repository is all about data structures, its implementation, problem and solving

This is an educational repository containing implementation of some search algorithms in Artificial Intelligence.

👨‍🔬 🧰 Bare essentials for studying Computer Science — Algorithms and Data Structures — that I've been researching, reimplementing and refining for quick reference.

An implementation-neutral algorithm analysis and visualization library

Projects for the UC Berkeley "Artificial Intelligence" course (CS 188)

A fine-tuned visual implementation of Informed and Uninformed Search Algorithms such as Breadth First Search, Depth First Search, Uniform Cost Search, A* Search, Greedy First Search

Infinit Pacman with JavaScript. Using multiple path-finding algorithms: A*, Greedy Best First Search, and Hill Climbing Search

Implementations of Graph and Tree search algorithms to find the path to the goal.

Search and sorting algorithms

This program solves a 2D maze with the help of several search algorithms like BFS, DFS, A* (A-Star) etc.

Finding path in a map which consist of cities using A*, Best First Search, Breadth First Search and Depth First Search.

This repository includes the projects of the CSMM101X - Artificial Intelligence course offered by Columbia University.

Data Structures and Algorithms with Java

Research about different search algorithms

Implementation of many popular AI algorithms to play the game of Pacman such as Minimax, Expectimax and Greedy.

Search Engine position - preliminary test

Algorithms with Programming Concepts in Java!

Pathfinding Algorithms in Unity

Project focused on comparing search algorithms

Implementation of search algorithms, BFS (Breadth First Search) and DFS (Depth First Search), to solve the NQueens problem.

comparison of 4 search algorithms: depth first search, breadth first search, uniform cost search and A*

A maze generator program and a solver agent implemented in python by Mahmoud Darwish (محمود درويش)