Search Results for "dev c++ example"

Julia wrapper for GDAL - Geospatial Data Abstraction Library. This package is a binding to the C API of GDAL/OGR. It provides only a C style usage, where resources must be closed manually, and datasets are pointers. Other packages can build on top of this to provide a more Julian user experience. See for example ArchGDAL.jl. Most users will want to use ArchGDAL.jl instead of using GDAL.jl directly.

This is an offshoot project of open source data quality (osDQ) project https://sourceforge.net/projects/dataquality/ This sub project will create apache spark based data pipeline where JSON based metadata (file) will be used to run data processing , data pipeline , data quality and data preparation and data modeling features for big data. This uses java API of apache spark. It can run in local mode also. Get json example at https://github.com/arrahtech/osdq-spark How to run Unzip the zip file Windows : java -cp .\lib\*;osdq-spark-0.0.1.jar org.arrah.framework.spark.run.TransformRunner -c .\example\samplerun.json Mac UNIX java -cp ./lib/*:./osdq-spark-0.0.1.jar org.arrah.framework.spark.run.TransformRunner -c ./example/samplerun.json For those on windows, you need to have hadoop distribtion unzipped on local drive and HADOOP_HOME set. ...

...And with some little sponsoring, this could also come to a full completion, leading to a mind-blowing product in little time. And also produce spin-offs like something similar, but written in C++, and featuring nice, textured OpenGL graphics, and even lower system requirements ; and even more... . Brought to You by Simon (alias ''the Nerd of Algorithms") If You thing You think You may become a sponsor for it's dev, let me know.

...It is recommended to use a binary matrix class like BinMatrix in order to have enough speed for calculations of implicit relations in a system of bogus tags with big data. Need to be compiled with C++11 and Qt libraries

Project has moved Github at https://github.com/zlogic/cybervision Cybervision is a 3D reconstruction software for SEM images. It's an abandoned project, but can be useful as a working example for many, many technologies, such as: * Qt (including threads, vectors, graphics and OpenGL) * Eigen library (http://eigen.tuxfamily.org/) * libsift library (https://sourceforge.net/projects/libsift/) * OpenCL and of course, 3D reconstruction in general.

QPNet (Quick Petri Net) is a fast Petri Nets' emulator, created by students of Moscow State Technical University of Radio Engineering, Electronics and Automation. It brings benefits for the educational process, while being under further development and extension. QPNet это быстрый эмулятор сетей Петри, созданный студентами МИРЭА. Он применяется в учебном процессе, а так же продолжает разрабатываться и эволюционировать.

A free, industrial quality library for simulating articulated rigid body dynamics - for example ground vehicles, legged creatures, and moving objects in VR environments. It's fast, flexible & robust. Built-in collision detection.

Ccide reads a source program, in one of several programming languages, expands all embedded decision tables, and generates the new, expanded source. Ccidew processes C language programs directly. The script, ccide, uses ccidew and m4, to process BASIC, JAVA, CC, C++, BASH, QB, VB, and EX(euphoria), source files containing embedded decision tables. Ccide checks all conditions once and only once, avoiding side effects. Ccide checks tables for conflicts and other errors. Input example: //DECISION_TABLE: // 1 3 2 2 | light == $$ /* 1=red, 2= yellow, 3=green. */ // N - - - | speed == STOPPED // - - Y - | speed == SLOW // - N - Y | speed == FAST // ______|___________________ // X - X - | Stop(); // - - - X | SlowDown(); // - X - - | SpeedUp(); //END_TABLE:

The Handwritten project aims to provide software for open distribution of handwritten notes. A rudimentary datastructure containg strokes made by writing devices as for example palm computers, digital pens, etc, is implemented in both Java and C.

This library implements self-organizing neural networks, also called Kohonen Nets. They can be used for high dimensional data analysis. Example: content based image recognition ( CBIR ).