Simple Project List Software Map

809 projects in result set
Última Atualização: 2013-11-10 20:03


The ATLAS (Automatically Tuned Linear Algebra Software) project is an ongoing research effort focusing on applying empirical techniques in order to provide portable performance. It provides C and Fortran77 interfaces to a portably efficient BLAS implementation, as well as a few routines from LAPACK.

(Machine Translation)
Última Atualização: 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)
Última Atualização: 2013-09-02 00:24


Calc is arbitrary precision arithmetic system that uses a C-like language. It's useful as a calculator, an algorithm prototype, and as a mathematical research tool. More importantly, calc provides a machine-independent means of computation. Calc comes with a rich set of builtin mathematical and programmatic functions.

Última Atualização: 2017-10-28 12:33



Última Atualização: 2019-10-10 19:56

Golly, a Game of Life simulator

「Conway's Game of Life」、ライフゲームを筆頭とする様々なセルオートマトンを探求するための基盤となるアプリケーションです。有限と無限の場所、パターンを高速に生成するアルゴリズム、およびPerl/Pythonでのスプリクトを実行する機能が備わっています。

Última Atualização: 2014-04-18 21:59


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.

Sistema Operacional: Linux, Windows
Linguagem de Programação: Haskell
Interface de Usuário: X11 Applications
Última Atualização: 2012-07-03 04:06


Numpy と scipy を使用する python の統計的モデル。現在線形回帰 (普通、一般化し、重み付き最小二乗法)、堅牢な線形回帰と一般化線形モデル、離散モデル、時系列解析、統計的方法をカバーしています。

(Machine Translation)
Última Atualização: 2014-05-21 18:22


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)
Última Atualização: 2016-09-25 04:39


lp_solveは、混合整数線形計画法 (Mixed Integer Linear Programming, MILP)のソルバーであり、純粋な線形、(混合)整数/バイナリ、半連続、特別な指示によるセット(SOS)モデルなどへ解を与えます。lp_solveは、ANSI Cで記述され、LinuxやWindowsのような多くの異なるプラットフォーム上でコンパイルすることができます。

Última Atualização: 2014-04-02 15:30


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)
Última Atualização: 2014-02-26 23:33


Eigen is a C++ template library for linear algebra: vectors, matrices, and related algorithms. It is versatile, fast, elegant and works on many platforms.

Última Atualização: 2014-01-10 22:22


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.

Última Atualização: 2010-03-21 13:17


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.

Última Atualização: 2012-09-25 21:55


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.

Última Atualização: 2014-02-17 20:04


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.