Showing 5 open source projects for "model train"

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  • 1
    Eventer

    Eventer

    Rapid, unbiased, reproducible analysis of synaptic events

    ...The software combines deconvolution for detection, and variable length template matching approaches for screening out false positive events. Eventer also includes a machine learning-based approach allowing users to train a model to implement their ‘expert’ selection criteria across data sets without bias. Sharing models allows users to implement consistent analysis procedures. The software is coded in MATLAB, but has been compiled as standalone applications for Windows, Mac and Linux. Please visit the official Eventer website for more info https://eventerneuro.netlify.app/ While the paper is in preparation, please cite as; Winchester, G., Liu, S., Steele, O.G., Aziz, W. and Penn, A.C. (2020) Eventer. ...
    Downloads: 28 This Week
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  • 2
    A program by Frederik De Kegel, to control a model rail road with the Intellibox of Uhlenbrock and Modeltreno. Een programma van Frederik De Kegel, om een modeltrein te besturen met de Intellibox van Uhlenbrock en Modeltreno.
    Downloads: 0 This Week
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  • 3
    Argos Translate

    Argos Translate

    Open-source offline translation library written in Python

    Argos Translate uses OpenNMT for translations and can be used as either a Python library, command-line, or GUI application. Argos Translate supports installing language model packages which are zip archives with a ".argosmodel" extension containing the data needed for translation. LibreTranslate is an API and web-app built on top of Argos Translate. Argos Translate also manages automatically pivoting through intermediate languages to translate between languages that don't have a direct...
    Downloads: 128 This Week
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  • 4
    UnsupervisedMT

    UnsupervisedMT

    Phrase-Based & Neural Unsupervised Machine Translation

    ...Training relies on denoising auto-encoding and back-translation, with on-the-fly, multithreaded generation of synthetic parallel data to continually refresh supervision signals. The project also provides scripts to fetch and preprocess monolingual data, learn BPE codes, and train cross-lingual embeddings that bootstrap unsupervised alignment between languages. Beyond the core EMNLP 2018 setup, the codebase exposes additional, optional capabilities such as multi-language training, language model pretraining with shared parameters, and adversarial training.
    Downloads: 0 This Week
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  • 5
    Solubility provides a GUI allowing users to develop regression models to predict the aqueous solubility of a molecule. Users can choose or create descriptors and/or atomic typing parameters, train the model, and apply it to large databases. 100% Java.
    Downloads: 0 This Week
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