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MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. MLPACK contains the following algorithms: Collaborative Filtering, Density Estimation Trees, Euclidean Minimum Spanning Trees, Fast Exact Max-Kernel Search (FastMKS), Gaussian Mixture Models (GMMs), Hidden Markov Models (HMMs), Kernel Principal Component Analysis (KPCA), K-Means Clustering, Least-Angle Regression (LARS/LASSO), Local Coordinate Coding, Locality-Sensitive Hashing (LSH), Logistic regression, Naive Bayes Classifier, Neighbourhood Components Analysis (NCA), Non-negative Matrix Factorization (NMF), Principal Components Analysis (PCA), Independent component analysis (ICA), Rank-Approximate Nearest Neighbor (RANN), Simple Least-Squares Linear Regression (and Ridge Regression), Sparse Coding, Tree-based Neighbor Search (all-k-nearest-neighbors, all-k-furthest-neighbors), Tree-based Range Search.

Mastrave is a free software library written to perform vectorized scientific computing and to be as compatible as possible with both GNU Octave and Matlab computing frameworks, offering general purpose, portable and freely available features for the scientific community. Mastrave is mostly oriented to ease complex modeling tasks such as those typically needed within environmental models, even when involving irregular and heterogeneous data series.

Semantic array programming

The Mastrave project attempts to allow a more effective, quick interoperability between GNU Octave and Matlab users by using a reasonably well documented wrap around the main incompatibilities between those computing environments and by promoting a reasonably general idiom based on their common, stable syntagms. It also promotes the systematic adoption of data-transformation abstractions and lightweight semantic constraints to enable concise and reliable implementations of models following the paradigm of semantic array programming.

There are a couple of underlying ideas: library design is language design and vice versa (Bell labs); language notation is definitely a "tool of thought" (version), in the sense that there is a feedback between programming/mathematical notation and the ability to think new scientific insights. And perhaps ethic ones.

Science and society

Mastrave is free software, which is software respecting your freedom. As many other free scientific software packages, it is offered to the scientific community to also promote the development of a free society more concerned about cooperation rather than competitiveness, heading toward knowledge and culture freedom.

Such a vision implies the possibility for motivated individuals to freely access, review and contribute even to the cutting-edge academic culture. This possibility relies on the development of tools and methodologies helping to overcome economic, organizational and institutional barriers (i.e. knowledge oligopolies) while systematically promoting reproducible research. This is a long-term goal to which the free software paradigm can and has been able to actively cooperate.

MathGene is a comprehensive JavaScript mathematics engine that delivers the ability to perform advanced numerical and symbolic mathematics processing of LaTeX expressions and send the output to pure HTML for rendering on a conventional web browser or via web server.

MathGene has two modules: •mg_translate.js, which translates between LaTeX, HTML, and native MG format. •mg_calculate.js, which performs the calculations.

mg_translate.js can be used without mg_calculate.js to perform mathematics rendering only. Both modules are required to perform calculations.

Mcsim Heckert gnu.small.png
MCSim is a simulation and statistical inference tool for algebraic or differential equation systems. While other programs have been created to the same end, many of them are not optimal for performing computer intensive and sophisticated Monte Carlo analyses. MCSim was created specifically to perform Monte Carlo analyses in an optimized, and easy to maintain environment.

MedianTracker supports efficient median queries on and dynamic additions to a list of values. It provides both the lower and upper median of all values seen so far. Any __cmp__()-able object can be tracked, in addition to numeric types. add() takes log(n) time for a tracker with n items; lower_median() and upper_median() run in constant time. Since all values must be stored, memory usage is proportional to the number of values added (O(n)).

OpenNN is a class library written in C++ which implements neural networks.

The library is intended for advanced users, with high C++ and machine learning skills. OpenNN provides an effective framework for the research and development of data mining and predictive analytics algorithms and applications.

OpenNN is based on the most popular neural network model, the multilayer perceptron. The package comes with unit testing, many examples and extensive documentation.

The library has been designed to learn from data sets. Some typical applications here are function regression (modelling), pattern recognition (classification) and time series prediction (forecasting).

OpenNN is being developed by Intelnics, a company specialized in the development and application of neural networks.

These calculators are real-time multi-model option chain pricers with analytics and interactive controls. optionmatrix is the GTK+ graphical user interface version and optionmatrix_console is the Curses version. Both programs feature: greeks, decimal date to real-date translations, real-date to decimal date translations, real-time time bleeding, configurable option expiration date engines, calendars, strike control systems, tickers and over 168+ option models. optionmatrix also supports: spreads, bonds, term structures, cash flow editing, source code viewing and text exporting.

Papertrail is a Ballot Counting Software. It helps scanning and counting regular paper ballots as known from common election situations. It is Free Software, licensed via the GPLv3, to make the election process as dependable as possible, but speeding up the manual counting process a lot.

Produces full-color lineplots, bargraphs, histograms, scatterplots, pie graphs, rangebars, boxplots, tables, tabular plots etc. Many labeling and style features. Produce graphs for publications, slides, posters, web pages and intranets. Plots from tabular data sets. Handles numeric, date, time, and alphanumeric data. Script-driven, non-interactive. Can render in Postscript, PNG, GIF, or X11.

PredictionIO is a free software Machine Learning server system. It enables developers and data engineers to build smarter web and mobile applications through a simple set of APIs. Admin UI is provided for developers to select and tune algorithms.

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