Showing 169 open source projects for "machine learning python"

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  • 1
    HW SOM

    HW SOM

    SOM - Self-Organizing Maps of Teuvo Kohonen

    It's a "Hello World" implementation of SOM (Self-Organizing Map) of Teuvo Kohonen, otherwise called as the Kohonen map or Kohonen artificial neural networks.
    Downloads: 0 This Week
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  • 2

    xpython

    Python lib for machine learning and intelligent control

    A framework and several plugins used for data analysis by using machine learning and intelligent control in not only web and network but also the computer science and clinical medicine even the space.
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  • 3
    A High-Order Multi-Variate Approximation Scheme for Arbitrary Data Sets, C implementation of the method described in http://web.mit.edu/qiqi/www/paper/interpolation.pdf, with Python and Fortran interfaces.
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  • 4
    feed4weka is an open library that enriches weka (http://www.cs.waikato.ac.nz/ml/weka/), an open source project for data analysis. It integrates new classification and clustering algorithms, and adds the coclustering and outlier detection frameworks
    Downloads: 0 This Week
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  • 5
    JProGraM (PRObabilistic GRAphical Models in Java) is a statistical machine learning library. It supports statistical modeling and data analysis along three main directions: (1) probabilistic graphical models (Bayesian networks, Markov random fields, dependency networks, hybrid random fields); (2) parametric, semiparametric, and nonparametric density estimation (Gaussian models, nonparanormal estimators, Parzen windows, Nadaraya-Watson estimator); (3) generative models for random networks (small-world, scale-free, exponential random graphs, Fiedler random fields), subgraph sampling algorithms (random walk, snowball, etc.), and spectral decomposition.
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  • 6
    This is a Matlab software package for single molecule FRET data analysis.
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  • 7

    FortGrapher

    InLine Plot with Fortran

    ...When you call the main subroutine in this module which is called FORTPLOT, it creates a python coded file that you can execute it at any time to get the plots and take a decision about continue the run or halt it. So, with multiple nodes machine you can assign a node for running the python coded file created by the Fortran code to get you data plotted.
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  • 8
    Karesansui is an open-source virtualization management application made in Japan. It's smart graphical user interface lowers your management cost, and brings a total management/audit solution for both physical and virtual servers. Full featured RESTful interface allows customizing and integration with other management/billing systems.
    Downloads: 0 This Week
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  • 9
    BIL++
    BIL++ is a set of standalone C++ packages for data processing in Bioinformatics (Graph mining, Bayesian networks, Genetic algorithm, Discretization, Gene expression data analysis, Hypothesis testing).
    Downloads: 0 This Week
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  • 10
    This project aims to develop a method to identify communities in a social network according to some point of view.
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  • 11
    With miao3d you can train a specific Gaussian Markov Random Field (GMRF) that then can be used to estimate a depthmap ("3D"), given an image ("2D"). A GUI allows inspection of the image + depthmap.
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  • 12
    Sanchay
    Sanchay is a collection of tools and APIs for language researchers. It has some implementations of NLP algorithms, some flexible APIs, several user friendly annotation interfaces and Sanchay Query Language for language resources.
    Downloads: 1 This Week
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  • 13
    E-learning Miner, formerly DŽEMUj is a tool for data mining from e-learning data. Aimed for teachers.
    Downloads: 0 This Week
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  • 14
    Overhead Imagery Research Data Set (OIRDS) - an annotated data library & tools to aid in the development of computer vision algorithms
    Downloads: 2 This Week
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  • 15
    Open, extensible web-based collaborative platform for microarray gene expression, sequence and PPI data analysis, exposing distinct chainable components for clustering, pattern discovery, statistics (thru R), machine-learning algorithms and visualization
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  • 16
    CompLearn is a general-purpose compression-based machine learning system that uses data compression to learn or data mine patterns in arbitrary data.
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  • 17
    pySPACE

    pySPACE

    Signal Processing and Classification Environment in Python using YAML

    pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due...
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  • 18

    Raku-DSL-Shared

    Raku package for DSL shared utilities and grammar roles.

    ...Here are "the first wave" utilities: Modify token patterns to include fuzzy matching Merge two or more roles into one ## Roles Another reason for making this package is to encapsulate and easily share grammar roles for making DSL translators. Here are "the first wave" roles: Error handling role Common English terms and phrases role used in workflows from Machine Learning, Data Science, or Scientific Computing Predicate specification role
    Downloads: 0 This Week
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  • 19
    IntelliView – Big Data Intelligence

    IntelliView – Big Data Intelligence

    AI platform for big data analytics and intelligence investigations

    ...It helps organizations analyze complex structured and unstructured data, uncover hidden relationships, and transform fragmented information into actionable intelligence. The platform supports big data and machine learning in defence, smart policing, predictive policing, crime analysis, case management for law enforcement, and operational decision-making. With advanced link analysis, entity resolution, pattern detection, and knowledge graph capabilities, IntelliView helps analysts connect people, places, devices, events, transactions, and activities across large datasets. ...
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