Open Source Windows Algorithms - Page 27

LogiDist offer a solution of "Computer Aided Logistic" with mostly informative purposes on executed pickups/delivery of merchandise. Is able to manage the whole process of purchase, order management, merchandise delivery to reduce distribution costs.

A small header-only C++ library, which provides a low complexity generic searching.

Shuffles (encrypt) The text entered in edit box. Encrypt Your Messages.

M+ Compiler/Interpreter is a interpreter library written in Java that delivers the possibility to extend any Java application with simple scripts. Besides the usage of native datatypes and operations you can instantiate and call native Java objects.

MADDPG (Multi-Agent Deep Deterministic Policy Gradient) is the official code release from OpenAI’s paper Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments. The repository implements a multi-agent reinforcement learning algorithm that extends DDPG to scenarios where multiple agents interact in shared environments. Each agent has its own policy, but training uses centralized critics conditioned on the observations and actions of all agents, enabling learning in cooperative, competitive, and mixed settings. The code is built on top of TensorFlow and integrates with the Multiagent Particle Environments (MPE) for benchmarking. Researchers can use it to reproduce the experiments presented in the paper, which demonstrate how agents learn behaviors such as coordination, competition, and communication. Although archived, MADDPG remains a widely cited baseline in multi-agent reinforcement learning research and has inspired further algorithmic developments.

MAPONTO is an interactive tool for discovering semantic mappings between database schemas and ontologies as well as between different database schemas. The tool analyzes semantics in the input schemas and ontologies for generating semantic mappings.

MDA is a 3D single-particle tracking software that explicitly addresses fluorescence microscopy experiments deep in living specimens. It is capable of minimizing the systematic error that occurs with astigmatism-based 3D techniques owing to the aberrations induced by the refractive index mismatch. In contrast to existing techniques, the method determines the aberration directly from the acquired 2D image stream by exploiting the inherent particle movement and the redundancy introduced by the astigmatism. It does not require additional experimental effort for the user and imaging can directly be started once interesting regions in the sample have been identified. MDA is written in MATLAB and comes with a graphical user interface. The particle fitting routine is provided by an external library written in C. The results can be exported into the Matlab Workspace or the trackID, frameID and xyz coordinates are saved into files.

MDQuery is a multi-dimensional aggregation class library written in VB.net originally, ported to C#.net with a lightweight query language for rapid prototyping.

MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack

MMLIB(Morfa Matrix Library) is a set of C++ numerical routines providing features similar to Matlab/Octave.

This Project implements the mergesort algorithm in a MPICH2 (parallel programming -) environment.

Multi-categorization Recommendation Adjusting (MRA) is to optimize the results of recommendation based on traditional(basic) recommendation models, through introducing objective category information and taking use of the feature that users always get the habits of preferring certain categories. Besides this, there are two advantages of this improved model: 1) it can be easily applied to any kind of existing recommendation models. And 2) a controller is set in this improved model to provide controllable adjustment range, which thereby makes it possible to provide optional modes of recommendation aiming different kinds of users.

Framework for development of simple evolutionary algorithms / island models programs in distributed environment using MapReduce programming model based on hadoop.

MXLib is a C++ wrapper around the Intel® Integrated Performance Primitives (IPP) library and NVidia NPP CUDA library. You can use either IPP code (or a subset of functions that do not require IPP) on the CPU side, or use NPP/CUDA on the GPU side, or use both together. The function syntax is similar to that found in MatLab and the library is designed to make it easy to port your code from MatLab to C++. The idea is to provide Scientists, Engineers, Researchers and other non full-time programmers an easy to use, high performance library of functions.

The project is a collection of object pascal libraries for parsing text strings and markup languages HTML, XHTML, XML, CSS and others. Libraries are written in minimalism concept with striving for wide unification.

This repository is a visually rich and well-organized “cheat sheet” summarizing core machine learning concepts, algorithms, formulas, and best practices. It includes summaries of supervised and unsupervised learning methods, model evaluation metrics (accuracy, precision, recall, ROC/AUC), overfitting/underfitting, regularization (L1/L2), cross-validation, feature engineering techniques, and perhaps tips for hyperparameter tuning. Each section is presented concisely, often with diagrams, formula snippets, and short explanatory notes to serve as quick reference for students, practitioners, or interview prep. The repository is ideal for those who want a compact, at-a-glance reminder of ML fundamentals without diving back into textbooks. Because the cheat sheet is meant to be portable and broadly useful, it is format-friendly (often in Markdown, PDF, or image formats) and easy to include in learning workflow or slides.

This repository contains MATLAB / Octave implementations of popular machine learning algorithms, along with explanatory code and mathematical derivations, intended as educational material rather than production code. Implementations of supervised learning algorithms (linear regression, logistic regression, neural nets). The author’s goal is to help users understand how each algorithm works “from scratch,” avoiding black-box library calls. Code written so as to expose and comment on mathematical steps. The repository includes clustering, regression, classification, neural networks, anomaly detection, and other standard ML topics. Does not rely heavily on specialized toolboxes or library shortcuts.

Madavi Code Library consists of a set of tested utility functions and non-visual and visual classes which can be instantly reused in your Delphi win32 and .Net projects. The library is built upon code written by Kaushalya Damitha for self interest.

Magic Fixed Point, it's an library that abstracts the use of fixed point math for environments that doesn't have floating point operations or in places that you don't want to use the traditional floating point operations.

Open Source MS/MS algorithm with integrated target-decoy based FDR. Reference- http://pubs.acs.org/doi/abs/10.1021/pr200031z , Check out the wiki site for help and support - https://sourceforge.net/apps/mediawiki/masswiz/index.php?title=Main_Page

The algorithm used by this MasterMind applet is very simple. Yet it is also very fast and it uses relatively few guesses.

Math4J is a java library with an object-oriented design of some mathematical ideas: functions, primality, complex numbers, etc. It also consists of some utility methods and classes for mathematical constructions.

mathCollection is a java package representing a consistent and efficient extension to the Java Collection Framework of JDK 1.4. It offers different kinds of sets with mathematical, non-destructive functions.

Allow make operations with date un java