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June 16, 2017

Fityk

Fityk [fi:tik] is a program for data processing and nonlinear curve fitting. It is primarily used by scientists who analyse data from powder diffraction, chromatography, photoluminescence and photoelectron spectroscopy, infrared and Raman spectroscopy, and other experimental techniques and also used to fit peaks – bell-shaped functions (Gaussian, Lorentzian, Voigt, Pearson VII, bifurcated Gaussian, EMG, Doniach-Sunjic, etc.), but it is suitable for fitting any curve to 2D (x,y) data. Fityk has the following features for users; intuitive graphical interface (and also command line interface), support for many data file formats, thanks to the xylib library, [...]

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June 16, 2017

CMSR Data Miner

StarProbe Data Miner or CMSR Data Miner Suite is software which provides an integrated environment for predictive modeling, segmentation, data visualization, statistical data analysis, and rule-based model evaluation. For advanced power users integrated analytics and rule-engine environment is also provided. This software has many features such as: deep learning modeling RME-EP which represents very powerful expert system shell rule engine, supporting predictive modeling such as neural network, self organizing maps, decision tree, regression etc. It has been developed to use SQL-like expressions which users can learn very easily and quickly. Also, RME-EP [...]

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June 16, 2017

mlpy

Mlpy know as Machine Learning Python represents a python method for machine learning built on top of NumPy/SciPy (Python-based ecosystem of open-source software for mathematics, science, and engineering) and the GNU Scientific Libraries (represents numerical library for C and C++ programmers where a wide range of mathematical routines such as random number generators, special functions and least-squares fitting are provided). Wide range of state-of-the-art machine learning methods are provided for supervised and unsupervised problems and mlpy is aimed at finding a reasonable compromise among modularity, maintainability, reproducibility, usability and [...]

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June 16, 2017

pandas

Pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Pandas is a NUMFocus sponsored project. This will help ensure the success of development of pandas as a world-class open-source project, and makes it possible to donate to the project. Best way to get pandas is to install via conda Builds for osx-64,linux-64,linux-32,win-64,win-32 for Python 2.7, Python 3.4, and Python 3.5 are all available. This is a major release from 0.19.2 and includes a number of API changes, deprecations, new features, enhancements, and performance improvements along with [...]

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June 16, 2017

MiningMart

MiningMart can help to reduce this time. The MiningMart project aims at new techniques that give decision-makers direct access to information stored in databases, data warehouses, and knowledge bases. The main goal is to support users in making intelligent choices by offering following objectives: Operators for preprocessing with direct database access; Use of machine learning for the preprocessing; Detailed documentation of successful cases; High quality discovery results; Scalability to very large databases and Techniques that automatically select or change representations. MiningMart’s basic idea is to store best practice cases of preprocessing chains [...]

1.25
 
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June 16, 2017

MALLET

MALLET known as Machine Learning for LanguagE Toolkit is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text. Sophisticated tools for document classification are provided – efficient routines for converting text to “features”, a wide variety of algorithms (including Naïve Bayes, Maximum Entropy, and Decision Trees), and code for evaluating classifier performance using several commonly used metrics. It also provides tools for sequence tagging for applications such as named-entity extraction from text. [...]

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June 16, 2017

Modular toolkit for Data Processing

The Modular toolkit for Data Processing (MDP) is a library of widely used data processing algorithms that can be combined according to a pipeline analogy to build more complex data processing software. From the user’s perspective, MDP consists of a collection of supervised and unsupervised learning algorithms, and other data processing units (nodes) that can be combined into data processing sequences (flows) and more complex feed-forward network architectures. Given a set of input data, MDP takes care of successively training or executing all nodes in the network. This allows the user to specify complex algorithms as a series of simpler data processing [...]

1.25
 
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June 16, 2017

TraMineR

TraMineR represents R-package (free software environment for statistical computing and graphics which compiles and runs on a wide variety of platforms such as UNIX platforms, Windows and MacOS) intended for mining, describing and visualizing sequences of states or events, and more generally discrete sequence data. Analysis of biographical longitudinal, data such as data describing careers or family trajectories, in the social sciences is its primary goal. This platform has many features that can apply in many other kinds of categorical sequence data. These features include: handling of longitudinal data and conversion between various sequence formats; [...]

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