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Algorithms Books presents three textbooks by Mykel J. Kochenderfer and coauthors, published by the MIT Press. The books are Algorithms for Optimization, Algorithms for Decision Making, and Algorithms for Validation. Full PDFs are available free.
The Algorithms - C++ is a repository of open-source implementations of various algorithms in C++, released under the MIT License. It covers topics including computer science, mathematics, statistics, data science, machine learning and engineering, and is intended as a learning resource for educators and students. The documentation is generated from the source code.
Algo Visualizers is a GitHub repository or organization with source code, releases, documentation, or project resources.
Algo is a self-hosted personal VPN server introduced by Trail of Bits in December 2016. It automatically deploys an on-demand VPN service in the cloud that is not shared with other users, relies on only modern protocols and ciphers, and includes minimal software. The project is described as free.
Algodoo is a free physics simulation program that lets users draw and interact with physical systems on a computer, building and exploring by click and drag, tilt and shake, with colors, graphs and forces for visualization. It is available for Windows, Mac and the iPad, and official videos and webinars cover creating educational scenes and other constructions.
algonds is a GitHub repository or organization with source code, releases, documentation, or project resources.
Algorithm Visualizer provides educational videos, lessons, tutorials, or self-learning resources.
algorithms provides educational videos, lessons, tutorials, or self-learning resources.
Algorithms of Oppression by Safiya Umoja Noble is a book published by NYU Press in February 2018 under the title How Search Engines Reinforce Racism. It examines how negative biases against women of color are embedded in search engine results and algorithms.
Algorithms-Cheatsheet-Resources is a GitHub repository or organization with source code, releases, documentation, or project resources.
CP-Algorithms is a developer resource for coding, documentation, communities, security research, or software tools.
CSES Problem Set is a collection of programming tasks organized into categories including introductory problems, sorting and searching, dynamic programming, graph algorithms, range queries, tree algorithms, mathematics and string algorithms. The page lists tasks with solved and attempt counts and offers account creation and login.
Hello Algo provides educational videos, lessons, tutorials, or self-learning resources.
This repository provides a hyperparameter optimization implementation for machine learning algorithms, accompanying a paper on hyperparameter optimization theory and practice. It includes sample code for regression and classification problems using the Boston-Housing and MNIST datasets, covering algorithms such as random forest, SVM, KNN and artificial neural networks.
JavaScript Algorithms is a GitHub repository or organization with source code, releases, documentation, or project resources.
Sorting Algorithms Visualizer provides educational videos, lessons, tutorials, or self-learning resources.
The Algorithms is a GitHub repository or organization with source code, releases, documentation, or project resources.
An open-source resource for learning data structures and algorithms through implementations in various programming languages. The site covers programming languages including Python, Java, JavaScript, Go, Rust, and C++, and organizes algorithms into categories such as sorting, searching, and graph algorithms. It also provides guidance on contributing implementations.
Advances in Evolutionary Algorithms. Edited by: Witold Kosinski. ISBN 978-953-7619-11-4, PDF ISBN 978-953-51-5796-0, Published 2008-11-01.
Big-O Cheatsheet is a webpage presenting space and time Big-O complexities of common computer science algorithms. It includes a Big-O complexity chart, common data structure operations with average and worst case time complexity and space complexity, and array sorting algorithms with best, average and worst case time complexity. A downloadable PDF version is offered.
Deconstructing the AI Myth: Fallacies and Harms of Algorithmification provides machine-learning models, research, training resources, or evaluation…
Desbordante is a high-performance open-source data profiler. It uses a variety of algorithms to discover different patterns in data and supports running data cleaning scenarios using these algorithms. The tool is available as a console version and an easy-to-use web application.
Faiss is a library for efficient similarity search and clustering of dense vectors, containing algorithms that search sets of vectors of any size. It is written in C++ with complete wrappers for Python/numpy, with some algorithms implemented on the GPU, and is developed primarily at Meta's Fundamental AI Research group.