Simple Project List 軟體列表

810 projects in result set
最後更新: 2014-04-18 21:59

arbtt

The program arbtt, the automatic rule-based time tracker, allows you to investigate how you spend your time, without having to manually specify what you are doing. arbtt records which windows are open and active, and provides you with a powerful rule-based language to afterwards categorize your work.

最後更新: 2014-04-02 15:30

openModeller

openModeller is a C++ framework providing tools and an API for ecological niche modeling using a variety of algorithms. It can be used to predict species potential distribution based on a set of georeferenced occurrence points and a set of environmental layers.

(Machine Translation)
最後更新: 2014-05-21 18:22

mcl-edge

MCL-edge is an integrated command-line driven workbench for large scale network analysis. It includes programs for the computation of shortest paths, diameter, clustering coefficient, betweenness centrality, and network shuffles. A module for loading and analyzing gene expression data as a network is provided. The MCL algorithm is a fast and highly scalable cluster algorithm for networks based on stochastic flow. The flow process employed by the algorithm is mathematically sound and intrinsically tied to cluster structure, which is revealed as the imprint left by the process. The threaded implementation has handled networks with millions of nodes within hours and is widely used in the fields of bioinformatics, graph clustering, and network analysis.

(Machine Translation)
最後更新: 2014-04-02 15:29

GluCat

GluCat is a library of template classes that model the universal Clifford algebras over the field of real numbers, with arbitrary dimension and arbitrary signature. It implements a model of each Clifford algebra corresponding to each non-degenerate quadratic form up to a maximum set by the user. GluCat classes are designed to be used as template parameters for other template libraries. GluCat includes the PyClical extension module for Python. This implements the Python classes index_set and clifford, which interface to corresponding C++ classes in GluCat.

(Machine Translation)
最後更新: 2014-01-10 22:22

pyPEG

pyPEG is a quick and easy solution for creating a parser in Python programs. pyPEG uses a PEG language in Python data structures to parse, so it can be used dynamically to parse nearly every context free language. The output is a plain Python data structure called pyAST, or, as an alternative, XML.

最後更新: 2011-02-18 23:08

SIVP toolbox for Scilab

SIVP とは、Scilab Image and Video Processing ツールボックスの意です。SIVP は、画像処理およびビデオ処理を目的としています。SIVP は、Scilab用の、便利で効率的なフリーの画像およびビデオ処理ツールボックスです。

最後更新: 2010-03-21 13:17

FreeMat

Freemat is an intepereted, matrix-oriented development environment for engineering and scientific applications, similar to the commercial

package MATLAB. It provides visualization, image

manipulation, and plotting as well as parallel programming.

最後更新: 2001-11-09 18:15

ccmath

CCMATH is a mathematics library, coded in C, that contains functions for linear algebra, numerical integration, geometry and trigonometry, curve fitting, roots and optimization, Fourier analysis, simulation generation, statistics, special functions, sorts and searches, time series models, complex arithmetic, and high precision computations.

最後更新: 2013-04-02 21:49

RKWard

RKWard aims to provide an easily extensible, easy to use IDE/GUI for the R project. RKWard strives to combine the power of the R language with the (relative) ease of use of commercial statistical packages. While RKWard is far from finished, it is already useful as an IDE interface to the R language.

最後更新: 2014-02-17 20:04

SHOGUN

SHOGUN is a machine learning toolbox whose focus is on large scale kernel methods and especially on Support Vector Machines (SVM). It provides a generic SVM object interfacing to several different SVM implementations, all making use of the same underlying, efficient kernel implementations. Apart from SVMs and regression, SHOGUN also features a number of linear methods like Linear Discriminant Analysis (LDA), Linear Programming Machine (LPM), (Kernel) Perceptrons, and algorithms to train hidden Markov models. SHOGUN can be used from within C++, Matlab, R, Octave, and Python.

最後更新: 2017-03-09 18:42

Turing and Post Machines: C++ Simulators

C++ プログラムのシミュレーション: 非決定的/決定的 Multitape チューリング & ポスト マシン、普遍的なチューリング マシン障害、障害回復とチューリング機械。

(Machine Translation)
最後更新: 2008-11-22 18:17

mcrypt

mcrypt(および付属のlibmcryptライブラリ)は、古いUnixの暗号化手法の代替を目指していますが、ライセンスはGPLとし、アルゴリズムとモードはかつてよりも広範囲なサポートを行うことを意図しています。

最後更新: 2014-02-17 04:47

Algebra Helper

代数ヘルパーは、方程式の一方の側から他の量を移動するときの徴候の変化を示します。代数ヘルパーは !JavaScript で実装されます。現在 Firefox とインターネット エクスプ ローラー 8 で動作します。次は、独自の数式を入力します。

(Machine Translation)
最後更新: 2020-08-26 14:38

Maxima -- GPL CAS based on DOE-MACSYMA

Maximaは、ほぼ完成されたコンピュータ代数システムです。 数式処理に重点が置かれており、Lispで書かれています。 米国エネルギー省の MACSYMA から派生し、GPLでライセンスされています。 数式の積分、三次元プロット、常微分方程式を解くといった機能があります。

最後更新: 2012-09-25 21:55

Strategico

Strategico is an engine for running statistical analysis over groups of time series. It can manage one or more groups (projects) of time series: by default, you can get data from a database or CSV files, normalize them, and then save them inside the engine. The first statistical analysis implemented inside Strategico is the "Long Term Prediction": it automatically finds the best model that fits each time series. Some of the models implemented are mean, trend, linear, exponential smoothing, and Arima. Strategico is scalable: the statistical analysis over each time series (of a project) can be run separately and independently. It is suggested that you set up an HPC Cluster (High Performance Computing) and/or use a resource scheduler like slurm. It is developed with R, one of the most famous statistical languages.