Open Source Algorithms
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Browse free open source Algorithms and projects below. Use the toggles on the left to filter open source Algorithms by OS, license, language, programming language, and project status.
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Enigma CS (Coding Software)
Create and use your own personalized, very secure, encoding script!
Create and use your own personalized, yet very secure, encoding script! -
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Hyacc is an efficient and practical Yacc/Bison-compatible full LR(1)/LALR(1)/LR(0) and partial LR(k) parser generator in ANSI C based on Knuth and Pager's LR(1) algorithms. Generated parser can be used in open-source or commercial software.
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This project is primarily for testing and demonstrating ideas for an ultimate programming system, though it might very well become a very usable programming system in time. It is being developed with PowerBasic's PBWin7 compiler.
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a framework library with a template method interface and inheritable classes for an executable process design which produces an executable which is both a GUI and a console application. It provides multi-threading for work items of the provider process .
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Secure remote access solution to your private network, in the cloud or on-prem.OpenVPN is here to bring simple, flexible, and cost-effective secure remote access to companies of all sizes, regardless of where their resources are located.
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ACADO Toolkit
Toolkit for Automatic Control and Dynamic Optimization
ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization. ACADO Toolkit is implemented as self-contained C++ code and comes along with user-friendly MATLAB interface. The object-oriented design allows for convenient coupling of existing optimization packages and for extending it with user-written optimization routines.
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