Open Source Windows Algorithms - Page 34

Pytholog Tool (Command line & API) An executable tool, built in python, that enables logic programming and prolog syntax through interactive shell that mimics prolog language and / or RESTful API that can be called from other applications. The tool is based on the python library pytholog which can be found here: https://github.com/mnoorfawi/pytholog The tool starts normally from the command line. Let's look at the arguments that can be specified while initiating the tool: $ ./Pytholog -h usage: Pytholog [-h] [-c CONSULT] -n NAME [-i] [-a] pytholog executable tool: prolog experience at command line and a logic knowledge base with no dependencies optional arguments: -h, --help show this help message and exit -c CONSULT, --consult CONSULT read an existing prolog file/knowledge base -n NAME, --name NAME knowledge base name -i, --interactive start an interactive prolog-like session -a, --api start a flask api

A Python library for easy creation and manipulation of Google Earth KML and KMZ placemark files. Please get your copy from http://pykml.cvs.sourceforge.net/viewvc/pykml/pykml/?view=tar

This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported.

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.

A threaded Web graph (Power law random graph) generator written in Python. It can generate a synthetic Web graph of about one million nodes in a few minutes on a desktop machine. It implements a threaded variant of the RMAT algorithm.

Bit operations on integers for Python - fast C implementation of bit extraction, counting, reversal etc.

The Pythonic Data Structures and Algorithms repository by keon is a hands-on collection of implementations of classical data structures and algorithms written in Python. It offers working, often well-commented code for many standard algorithmic problems — from sorting/searching to graph algorithms, dynamic programming, data structures, and more — making it a valuable resource for learning and reference. For students preparing for technical interviews, self-learners brushing up on fundamentals, or developers wanting to understand algorithm internals, this repository provides ready-to-run examples, and can serve as a sandbox to experiment, benchmark, or adapt code. Because it’s in pure Python, it’s easy to read and modify, making it accessible even to those with modest programming experience. The repo helps bridge the gap between theoretical algorithm descriptions and real-world code, giving concrete, working implementations that one can study, debug, or extend.

QMC Logic Minimizer is a versatile application for fast simplifying truth and reduce lines tables. This program offers a comfortable user interface for generating and minimizing of the combinational logic functions. It is unique for its possibility of minimizing several functions at the same time. This program is intended for practical digital devices constructors as well as formal scholars and academics. Features: - You can minimize up to 16 input variables and up to 16 output variables. - You can also reduce the number of table rows. - It allows you to name the input and output variables. - The table can be exported to HTML file and then you can use it in e.g. MS Word. - This program provides a comfortable interface, you can change fonts and colors. - It works on MS Windows, GNU/Linux, Mac OS.

This library is meant to offer an array of general purpose data structures and algorithms for a multitude of uses. Each structure must be examined for its specific usefulness to be determined. Please see the API documentation for more details.

A Qt library for Fast Fourier Transform (FFT) of real samples. Based on the FFTReal library.

software educativo de aplicacion de metaheuristicas sobre problemas de grafos, TSP problema del agente viajero, ruta mas corta, arbol de expansion minima, etc.

This is a projct simulation code for my term report. It will be written in Python.

This C++ demo allows users to interactively explore a quadtree's behavior. For this purpose the demo uses a quadtree data structure based on axis-aligned bounding boxes to speed up the search for triangles in a mesh. Depending on a search point all triangles of a quadtree's region are retrieved and relevant information about the search is shown. Quadtree creation can be parametrized by three parameters: - Maximum tree depth. - Maximum number of triangles per region. - Percentage of total number of triangles per region. The OpenGL graphics library is used to render the results, regions as well as the underlying triangle mesh. Navigation (e.g. zooming, moving) is available by keyboard and mouse. Example meshes are provided in wavefront *.obj format and can be opened from inside the program.

Quantitative Finance C++ Library.

Abandoned version of qbc. DOES NOT WORK properly

A Functor / "Function Object" library, providing classes implementing an operator(). A substantial improvement (IMHO) over what the standard provides, with composition, arithmetic expressions, "transform" operations, the naming convention and more.

QuickMP (Quick Multi-Processing) is a simple cross-platform C++ API for generating parallel for loops in shared-memory programs, similar to OpenMP. It provides automatic scalable performance based on the number of available processors.

Small console application written in C to simplify boolean functions with the Quine-McCluskey algorithm

Turing Machine Simulator using Quintuples (5-tuples). Intended for primarily for Computer Science education.

quiplib is a c++ library that contains some classes to simplify you network programing and ACE programming. And implement some important and useful patterns in templates

Download Free Associated R open source script files for big data analysis with Hadoop and R These are R script source file from Ram Venkat from a past Meetup we did at http://www.meetup.com/R-Matlab-Users/events/85160532/ Also, there is a long video and Powerpoint presentation slide PDF with R files at: http://quantlabs.net/blog/2012/11/how-to-use-hadoop-and-r-for-big-data-parallel-processing-free-download-pdf/ Download source files from http://quantlabs.net/blog/2012/11/download-free-associated-r-open-source-script-files-for-big-data-analysis-with-hadoop-and-r-rstats-hadoop/

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.

Rejection-based stochastic simulation algorithm (RSSA) is an efficient exact algorithm for doing stochastic simulation of biochemical reaction systems. RSSA improves over state of the art of stochastic simulations by avoiding and collapsing as much the number of propensity updates.

Raiden block cipher: An extremely lightweight and fast block cipher, developed using genetic programming, with the intention to be an alternative to TEA. This cipher is as fast as TEA, and without many of its known weaknesses.

A portable C++ library of multi-threaded STL algorithms (transform, accumulate...) using standard containers and iostreams. Thread, mutex, spinlock are templatized. Close to Intel Threading Building Blocks, HPC++ or PSTL. Idea of A.Stepanov and M.Austen.