Showing 2 open source projects for "model based testing tool"

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    PyDenseCRF

    PyDenseCRF

    Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs

    PyDenseCRF is a Python library that provides a wrapper around the implementation of fully connected Conditional Random Fields (CRFs) developed by Philipp Krähenbühl and Vladlen Koltun. The project allows developers and researchers to integrate Dense CRF inference into Python-based machine learning pipelines, particularly for computer vision tasks such as image segmentation and labeling. Conditional Random Fields are probabilistic graphical models used to model contextual relationships...
    Downloads: 1 This Week
    Last Update:
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    TurboPilot

    TurboPilot

    Open source large-language-model based code completion engine

    TurboPilot is a self-hosted copilot clone that uses the library behind llama.cpp to run the 6 Billion Parameter Salesforce Codegen model in 4GiB of RAM. It is heavily based and inspired by on the fauxpilot project. This is a proof of concept right now rather than a stable tool. Autocompletion is quite slow in this version of the project. Feel free to play with it, but your mileage may vary.
    Downloads: 0 This Week
    Last Update:
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