Search Algorithms
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A collection of popular algorithms and data structures implemented in Swift with detailed explanations.
A high-performance string library leveraging SIMD and SWAR to accelerate search, hashing, sorting, and edit distances across C, C++, Python, Rust, and more.
A JAX-native library implementing Monte Carlo tree search algorithms like AlphaZero and MuZero for reinforcement learning research.
A collection of well-known computer science algorithms and data structures implemented in Objective-C for educational purposes.
A C++ library for fast approximate nearest neighbor searches in high-dimensional spaces with automatic algorithm selection.
A Swift framework providing implementations of common data structures and algorithms with educational examples.
A fast, extensible, multi-platform C# library for implementing genetic algorithms in .NET applications.
A learned index structure enabling fast lookups, range searches, and updates on billions of items with minimal space usage.
A comprehensive Swift library for creating and manipulating weighted, unweighted, directed, and undirected graphs with built-in algorithms.
A Go implementation of a trie data structure with algorithms for extremely fast prefix and fuzzy string searching.
A lightweight Ruby playground with clean implementations of core AI algorithms for learning and experimentation.
A lightweight Ruby playground with clean, readable implementations of core AI algorithms for learning and experimentation.
A vector space search engine, vector database, and key/value store for efficient string processing and vector operations.
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).
Common Lisp implementation of classic AI algorithms from the 'Artificial Intelligence: A Modern Approach' textbook.
A high-performance, memory-efficient Go implementation of Adaptive Radix Trees with zero-allocation searches and ordered iteration.
A Rust library providing fast linear time and space suffix arrays with full Unicode support.
A flexible Rust framework for building and running genetic algorithm simulations for optimization and search problems.
A fast, parallel, and extensible genetic algorithms framework implemented in Rust for solving optimization problems.
A collection of classic algorithms and data structures implemented in Erlang for educational and practical use.
A comprehensive collection of data structures and algorithms implemented in the Crystal programming language.
A Pacman AI project implementing search algorithms like DFS, BFS, UCS, and A* for navigation and food collection.
A modular framework for executing genetic algorithms in Rust with a simple API.
A Java library of customizable, hybridizable, iterative, parallel, stochastic, and self-adaptive local search algorithms.
A generic A* graph pathfinding implementation in pure Elixir, abstracting graph environment details.
A Swift framework for building fast and extensible genetic algorithms with support for multiple platforms.
A Free Pascal port of FuzzyWuzzy for fuzzy string matching using Levenshtein distance algorithms.
A compile-time trie data structure implementation for the Crystal programming language.
A Rust library for advanced string manipulation with pattern searching and text transformation capabilities.
A high-performance binary search library for GameMaker Studio 2.3, enabling fast lookups on large datasets with multiple indexes.
A classical AI planner in Common Lisp with a PDDL-inspired, Lisp-native problem language and a REPL-friendly workflow.
A genetic algorithm library for Ada with binary chromosomes, elitism, mutation, and crossover operations.
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