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Showing 31 open source projects for "multi-system"

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  • 1
    TextRank

    TextRank

    TextRank implementation for Python 3

    TextRank is an implementation of the TextRank algorithm for extractive text summarization and keyword extraction, inspired by Google’s PageRank.
    Downloads: 0 This Week
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  • 2

    CRP - Chemical Reaction Prediction

    Predicting Organic Reactions using Neural Networks.

    The intend is to solve the forward-reaction prediction problem, where the reactants are known and the interest is in generating the reaction products using Deep learning. This Graphical User Interface takes simplified molecular-input line-entry system (SMILES) as an input and generates the product SMILE & molecule. Beam search is used in Version 2, to generate top 5 predictions. Maximum input length for the model is 15 (excluding spaces).
    Downloads: 4 This Week
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  • 3
    DeepLearn

    DeepLearn

    Implementation of research papers on Deep Learning+ NLP+ CV in Python

    Welcome to DeepLearn. This repository contains an implementation of the following research papers on NLP, CV, ML, and deep learning. The required dependencies are mentioned in requirement.txt. I will also use dl-text modules for preparing the datasets. If you haven't use it, please do have a quick look at it. CV, transfer learning, representation learning.
    Downloads: 0 This Week
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  • 4

    TEES

    Turku Event Extraction System

    Turku Event Extraction System (TEES) is a free and open source natural language processing system developed for the extraction of events and relations from biomedical text. It is written mostly in Python, and should work in generic Unix/Linux environments. Currently, the TEES source code repository still remains on GitHub at http://jbjorne.github.com/TEES/ where there is also a wiki with more information.
    Downloads: 13 This Week
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  • 5
    MutationFinder is a biomedical natural language processing (NLP) system for extracting mentions of point mutations from free text. MutationFinder achieves high performance (99% precision, 81% recall on blind test data) as an information extraction system
    Downloads: 0 This Week
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  • 6
    webXcreta users natural language processing to create grammatical averages of textual communication and then generate original content based on these statistics.
    Downloads: 0 This Week
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