Open Source Windows Algorithms
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Algorithms for Windows
View 1753 business solutionsBrowse free open source Algorithms and projects for Windows 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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Track all your service data in one easy-to-use system, enabling your team to move faster and generate more revenue for your bottom line.
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Define and Deliver Comprehensive Cybersecurity Services. Security threats continue to grow, and your clients are most likely at risk. Small- to medium-sized businesses (SMBs) are targeted by 64% of all cyberattacks, and 62% of them admit lacking in-house expertise to deal with security issues. Now technology solution providers (TSPs) are a prime target. Enter ConnectWise Cybersecurity Management (formerly ConnectWise Fortify) — the advanced cybersecurity solution you need to deliver the managed detection and response protection your clients require. Whether you’re talking to prospects or clients, we provide you with the right insights and data to support your cybersecurity conversation. From client-facing reports to technical guidance, we reduce the noise by guiding you through what’s really needed to demonstrate the value of enhanced strategy.
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Temporal Inference Engine
A real time inference engine for temporal logic specifications
A real time inference engine for temporal logic specifications, which is able to process and generate any binary or real signal through POSIX IPC, files or UNIX sockets. Specifications of signals are represented as special graphs and executed in real time, with a sampling time of few milliseconds. The accepted language provides timed logic and mathematical operators, conditional operators, interval operators, bounded quantifiers and parametrization of signals. -
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VR Paged List GXS for C++ and more ...
Paged Lists & Iterators GXS for C++ Sources by Vincent Radio {Adrix.NT
Vincent Radio {Adrix.NT} presents Paged Lists & Iterators GXS for C++ Sources by Vincent Radio {Adrix.NT} also contains - Little Docs about Paged Lists (docx, pdf) - VR Basic Common Utils Sources (Array List ...) - VR Generic Multi Dim Array Class - VR Generic MDArray List Mgr Class - VR Generic Adjacency (List | Matrix) Direct Graph Classes - VR List Interface with STL Support with some nice implementations (ArrayList, Paged-LIst) - Env Var Notes for sources for C++ Builder (Embarcadero) - Special DLLs Build - Embarcadero C++Builder VCL Test Application for Paged List - Dev-C++, Visual Studio Build Projects have fun another fine SunStorm release for more products write to ... Vincent Radio {Adrix.NT} adrixnt@hotmail.it -
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VR Paged List for C# and more
VR Paged List for C# and more
a collection of Vincent Radio {Adrix.NT} C# sources & build projects includes - Paged Lists & Iterators Library for C# - Multi Dimensional Array Library for C# - MDArray List Manager Library for C# - Adjacency (List | Matrix) Direct Graph Libs for C# - Range Check functions - VRMosaic (WinForms) - with Auto Resolver also includes - Source Files - Visual Studio Build Projects - Test Applics have fun adrixnt@hotmail.it -
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NOTE: The GROOVE codebase has moved to https://github.com/nl-utwente-groove
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From improving customer experience through seamless sign-on to making MFA as easy as a click of a button – your login box must find the right balance between user convenience, privacy and security.
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TBOX
A glib-like multi-platform c library
TBOX is a glib-like cross-platform C library that is simple to use yet powerful in nature. The project focuses on making C development easier and provides many modules (.e.g stream, coroutine, regex, container, algorithm ...), so that any developer can quickly pick it up and enjoy the productivity boost when developing in C language. It supports the following platforms: Windows, Macosx, Linux, Android, iOS, BSD and etc. Supports file, data, http and socket source. Supports the stream filter for gzip, charset. etc. Implements stream transfer. Implements the static buffer stream for parsing data. Supports coroutine and implements asynchronous operation. The coroutine library. Provides high-performance coroutine switch. Supports arm, arm64, x86, x86_64. Provides channel interfaces. Provides semaphore and lock interfaces. Supports io socket and stream operation in coroutine. Provides some io servers (http ..) using coroutine. Provides stackfull and stackless coroutines. -
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Elite Planet Browser
Browse through the planets of the Elite game on various Z80 machines
First of all: this program is totally useless. But those of you who know and love the classic computer game "Elite" will maybe like it. The "Elite Planet Browser" is a little program for various classic Z80-based computers, written in C using the z88dk compiler (www.z88dk.org). It allows you to browse through the planet data of the Elite game on many old Z80-based computers. When the original game came out in 1984, many people wondered how it is possible to have detailed data of so many planets in the 16K RAM memory of the BBC Micro. The trick behind this is a clever algorithm based on a pseudo-random number sequence, and this algorithm is reproduced here in this program. Currently, 68 target systems are supported, including Sinclair ZX81, Jupiter Ace, ColecoVision, MSX, Tandy TRS-80, Sharp MZ, and many more. 2024-09-08: - New target supported: Amstrad CPC -
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Python Outlier Detection
A Python toolbox for scalable outlier detection
PyOD is a comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. This exciting yet challenging field is commonly referred as outlier detection or anomaly detection. PyOD includes more than 30 detection algorithms, from classical LOF (SIGMOD 2000) to the latest COPOD (ICDM 2020) and SUOD (MLSys 2021). Since 2017, PyOD [AZNL19] has been successfully used in numerous academic researches and commercial products [AZHC+21, AZNHL19]. PyOD has multiple neural network-based models, e.g., AutoEncoders, which are implemented in both PyTorch and Tensorflow. PyOD contains multiple models that also exist in scikit-learn. It is possible to train and predict with a large number of detection models in PyOD by leveraging SUOD framework. A benchmark is supplied for select algorithms to provide an overview of the implemented models. In total, 17 benchmark datasets are used for comparison, which can be downloaded at ODDS. -
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Armadillo
fast C++ library for linear algebra & scientific computing
* Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads: http://arma.sourceforge.net/download.html * Documentation: http://arma.sourceforge.net/docs.html * Bug reports: http://arma.sourceforge.net/faq.html * Git repo: https://gitlab.com/conradsnicta/armadillo-code -
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Continuation Core and Toolboxes (COCO)
Toolboxes for parameter continuation and bifurcation analysis.
Development platform and toolboxes for parameter continuation, e.g., bifurcation analysis of dynamical systems and constrained design optimization. This material is based upon work partially supported by the National Science Foundation under Grant No. 1016467 and the Danish research council (FTP) under the project number 0602-00753B. Any opinions, findings, and conclusions or recommendations expressed on this site are those of the authors and do not necessarily reflect the views of the National Science Foundation or other funding sources. In the most recent release, documentation and tutorials are available for the following toolboxes: * ep : continuation and bifurcations of equilibrium points * coll : continuation of constrained collections of trajectory segments, including multi-segment boundary-value problems * po : continuation and bifurcations of periodic orbits in smooth and hybrid systems * recipes : collection of examples from the book Recipes for Continuation -
Managing your therapy and rehab practice is a time-consuming process. You spend hours on paperwork, billing, scheduling, and more. Raintree’s Therapy & Rehab EHR is here to help you manage your practice more efficiently. With our all-in-one solution, you’ll get the tools you need to streamline your therapy and rehab practice, improve patient care, and get back to doing what you love.
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To give users the full control over the running application. This means that an application is working according to its purpose but the control over the whole interface is taken from developer and given to users. While an application is running, users can move, resize, and tune all the screen objects through which the communication with an application is going. Set of files includes the book (both in DOC and PDF formats), a big demonstration project with all its files available (all the source files are in C#), and an additional description of many used classes. Book uses the examples from the demo project to explain everything in details. The examples are from many different areas. Examples from the first part of the book are aimed at the details of algorithm and its use with different objects; examples from the second part are mostly the real and very useful applications.
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Rubix ML
A high-level machine learning and deep learning library for PHP
Rubix ML is a free open-source machine learning (ML) library that allows you to build programs that learn from your data using the PHP language. We provide tools for the entire machine learning life cycle from ETL to training, cross-validation, and production with over 40 supervised and unsupervised learning algorithms. In addition, we provide tutorials and other educational content to help you get started using ML in your projects. Our intuitive interface is quick to grasp while hiding alot of power and complexity. Write less code and iterate faster leaving the hard stuff to us. Rubix ML utilizes a versatile modular architecture that is defined by a few key abstractions and their types and interfaces. Train models in a fraction of the time by installing the optional Tensor extension powered by C. Learners such as neural networks will automatically get a performance boost. -
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VR Mosaic :: C++ Builder Applet
VR Mosaic - C++ Builder Applet v.2.5
Vincent Radio {Adrix.NT} VR Mosaic for C++ : C++ Builder Applet - v.2.5 Smart Sliding Cells Game for Windows sources & build project included also demonstartes the use of a 2D matrix implemented as a dynamic vector (*) now it supports changing the Visual Style (*) now it includes a smart automatic resolver !! please, let me know what you think about this project adrixnt@hotmail.it skype: adrixnt -
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VRMosaic for Lazarus
VRMosaic for Lazarus
VRMosaic for Lazarus a sliding cells puzzle game written using Free Pascal for Lazarus [*] now include auto mosaic resolver (Aug 2023) !! includes Lazarus sources & build project another fine SunStorm release Vincent Radio {Adrix.NT} adrixnt@hotmail.it -
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pwwMap
map and nosql database
Using Chinese description. You need the Google translation. My address is as follows: No.17-18 of XiangGang batang Community, Xiangtan City of Hunan Province, China. -
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calculatorpp
Calculator++
Written in C++ (using template). Calculator++ is a application/library for Window (POSIX). The core of code is adaptable for posix. This algorithm support: + built-in operator + built-in functions + run-time functions and variables definition + run-time units system, units with prefix + constants definition + Pretty mathematical expressions - Process ascii files (dev) - vector and matrix (dev) - graph 2D and 3D (dev) - vector graph (dev) - symbolic calculate (dev) - Animations (dev) -
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RBush
High-performance JavaScript R-tree-based 2D spatial index
RBush is a high-performance JavaScript library for 2D spatial indexing of points and rectangles. It's based on an optimized R-tree data structure with bulk insertion support. Spatial index is a special data structure for points and rectangles that allows you to perform queries like "all items within this bounding box" very efficiently (e.g. hundreds of times faster than looping over all items). It's most commonly used in maps and data visualizations. The demos contain visualization of trees generated from 50k bulk-loaded random points. Open web console to see benchmarks; click on buttons to insert or remove items; click to perform search under the cursor. An optional argument to RBush defines the maximum number of entries in a tree node. 9 (used by default) is a reasonable choice for most applications. Higher value means faster insertion and slower search, and vice versa. -
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EASTL
EASTL, Electronic Arts Standard Template Library
EASTL stands for Electronic Arts Standard Template Library. It is a C++ template library of containers, algorithms, and iterators useful for runtime and tool development across multiple platforms. It is a fairly extensive and robust implementation of such a library and has an emphasis on high performance above all other considerations. If you are familiar with the C++ STL or have worked with other templated container/algorithm libraries, you probably don't need to read this. If you have no familiarity with C++ templates at all, then you probably will need more than this document to get you up to speed. In this case, you need to understand that templates, when used properly, are powerful vehicles for the ease of creation of optimized C++ code. A description of C++ templates is outside the scope of this documentation, but there is plenty of such documentation on the Internet. -
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CRC RevEng
Arbitrary-precision CRC calculator and algorithm finder
CRC RevEng is a portable, arbitrary-precision CRC calculator and algorithm finder. It calculates CRCs using any of the 113 preset algorithms, or a user-specified algorithm to any width. It calculates reversed CRCs to give the bit pattern that produces a desired forward CRC. CRC RevEng also reverse-engineers any CRC algorithm from sufficient correctly formatted message-CRC pairs and optional known parameters. It comprises powerful input interpretation options. Compliant with Ross Williams' Rocksoft(tm) model of parametrised CRC algorithms. -
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tsfresh
Automatic extraction of relevant features from time series
tsfresh is a python package. It automatically calculates a large number of time series characteristics, the so called features. tsfresh is used to to extract characteristics from time series. Without tsfresh, you would have to calculate all characteristics by hand. With tsfresh this process is automated and all your features can be calculated automatically. Further tsfresh is compatible with pythons pandas and scikit-learn APIs, two important packages for Data Science endeavours in python. The extracted features can be used to describe or cluster time series based on the extracted characteristics. Further, they can be used to build models that perform classification/regression tasks on the time series. Often the features give new insights into time series and their dynamics. -
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FATE
An industrial grade federated learning framework
FATE (Federated AI Technology Enabler) is the world's first industrial grade federated learning open source framework to enable enterprises and institutions to collaborate on data while protecting data security and privacy. It implements secure computation protocols based on homomorphic encryption and multi-party computation (MPC). Supporting various federated learning scenarios, FATE now provides a host of federated learning algorithms, including logistic regression, tree-based algorithms, deep learning and transfer learning. FATE became open-source in February 2019. FATE TSC was established to lead FATE open-source community, with members from major domestic cloud computing and financial service enterprises. FedAI is a community that helps businesses and organizations build AI models effectively and collaboratively, by using data in accordance with user privacy protection, data security, data confidentiality and government regulations. -
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Sorting-Visualizer
A GUI sorting visualizer desktop application
A GUI sorting visualizer desktop application that helps to visualize various sorting algorithms interactively. Visualizer the sorting algorithms like Bubble sort, Insertion sort, Selection sort, Gnome sort, Shaker sort and Odd even sort. Change the bar color and background by customizing. Increase or decrease speed of animation to visualize the sorting process. Download now! -
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LZ4
Extremely fast compression algorithm
LZ4 is lossless compression algorithm, providing compression speed > 500 MB/s per core (>0.15 Bytes/cycle). It features an extremely fast decoder, with speed in multiple GB/s per core (~1 Byte/cycle). A high compression derivative, called LZ4_HC, is available, trading customizable CPU time for compression ratio. LZ4 library is provided as open-source software using a BSD license. This benchmark simulates simple "static content transfer" scenario such as OS Kernel compression or video game's static assets (text/images/tables/scripts/etc) which loading from Flash Memory / HDD / SSD. In this case, compression time is completely ignored. Because only content developers compress the data at once and usually they don't care about its computational cost. But they always care end user's experience a.k.a. "loading time" and bandwidth. Please pay attention to "LZ4HC -9" which is quite faster than other methods. -
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Arduino FOC
Arduino FOC for BLDC and Stepper motors
We live in very exciting times 😃! BLDC motors are entering the hobby community more and more and many great projects have already emerged leveraging their far superior dynamics and power capabilities. BLDC motors have numerous advantages over regular DC motors but they have one big disadvantage, the complexity of control. Even though it has become relatively easy to design and manufacture PCBs and create our own hardware solutions for driving BLDC motors the proper low-cost solutions are yet to come. One of the reasons for this is the apparent complexity of writing the BLDC driving algorithms, Field oriented control (FOC) being an example of one of the most efficient ones. The solutions that can be found online are almost exclusively very specific for certain hardware configurations and the microcontroller architecture used. Additionally, most of the efforts at this moment are still channeled towards the high-power applications of the BLDC motors and proper low-cost FOC. -
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MOA - Massive Online Analysis
Big Data Stream Analytics Framework.
A framework for learning from a continuous supply of examples, a data stream. Includes classification, regression, clustering, outlier detection and recommender systems. Related to the WEKA project, also written in Java, while scaling to adaptive large scale machine learning.