Showing 8 open source projects for "smith statistical package"

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  • 1
    ROOT

    ROOT

    Analyzing, storing and visualizing big data, scientifically

    ROOT is a unified software package for the storage, processing, and analysis of scientific data: from its acquisition to the final visualization in the form of highly customizable, publication-ready plots. It is reliable, performant and well supported, easy to use and obtain, and strives to maximize the quantity and impact of scientific results obtained per unit cost, both of human effort and computing resources. ROOT provides a very efficient storage system for data models, that demonstrated...
    Downloads: 3 This Week
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  • 2
    Simd Library

    Simd Library

    C++ image processing and machine learning library with using of SIMD

    The Simd Library is a free open-source image processing and machine learning library, designed for C and C++ programmers. It provides many useful high-performance algorithms for image processing such as pixel format conversion, image scaling and filtration, extraction of statistical information from images, motion detection, object detection and classification, neural networks. The algorithms are optimized with using of different SIMD CPU extensions. In particular, the library supports...
    Downloads: 0 This Week
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  • 3
    YData Synthetic

    YData Synthetic

    Synthetic data generators for tabular and time-series data

    A package to generate synthetic tabular and time-series data leveraging state-of-the-art generative models. Synthetic data is artificially generated data that is not collected from real-world events. It replicates the statistical components of real data without containing any identifiable information, ensuring individuals' privacy. This repository contains material related to Generative Adversarial Networks for synthetic data generation, in particular regular tabular data and time-series...
    Downloads: 0 This Week
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  • 4
    SPPAS

    SPPAS

    SPPAS - the automatic annotation and analyses of speech

    SPPAS is a scientific computer software package written and maintained by Brigitte Bigi of the Laboratoire Parole et Langage, in Aix-en-Provence, France. Available for free, with open source code, there is simply no other package for linguists to simple use in the automatic annotations of speech, the analyses of any kind of annotated data and the conversion of annotated files. SPPAS is able to produce automatically speech annotations from a recorded speech sound and its orthographic...
    Downloads: 27 This Week
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  • 5
    NeuralCoref

    NeuralCoref

    Fast Coreference Resolution in spaCy with Neural Networks

    NeuralCoref is a pipeline extension for spaCy 2.1+ which annotates and resolves coreference clusters using a neural network. NeuralCoref is production-ready, integrated in spaCy's NLP pipeline and extensible to new training datasets. For a brief introduction to coreference resolution and NeuralCoref, please refer to our blog post. NeuralCoref is written in Python/Cython and comes with a pre-trained statistical model for English only. NeuralCoref is accompanied by a visualization client...
    Downloads: 0 This Week
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  • 6
    Alchemy is a software package providing a series of algorithms for statistical relational learning and probabilistic logic inference, based on the Markov logic representation.
    Downloads: 0 This Week
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  • 7
    Maximum entropy is a powerful method for constructing statistical models of classification tasks, such as part of speech tagging in Natural Language Processing. Several example applications using maxent can be found in the OpenNLP Tools Library.
    Downloads: 2 This Week
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  • 8
    This package provides statistical (and heuristic) tools for 3 stages of Verb Phrase Ellipsis (VPE) resolution: 1 - Detection 2 - Antecedent location 3 - Resolution
    Downloads: 0 This Week
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