Showing 5 open source projects for "text compare"

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  • 1
    NanoJev

    NanoJev

    A nano replica of Jev: parallel decisions, dynamic candidates

    ...One shared checkpoint has been tested across ViZDoom aiming tasks, maze navigation, and Snake. The repository includes datasets, configurations, research results, demonstrations, and an end-to-end training pipeline. Its experiments compare NanoJev with Jev and untuned Qwen baselines under matched tasks. The project is primarily intended for studying low-latency decision models rather than conversational text generation.
    Downloads: 0 This Week
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  • 2
    jlens

    jlens

    Companion code for the global workspace interpretability paper

    ...Interactive layer-by-position views reveal how token rankings evolve across the network and compare them with the model’s final output. It supports open-weight Hugging Face decoder models, with Qwen used in the included examples. The repository also provides synthetic evaluation data and an end-to-end notebook, but it is not maintained.
    Downloads: 0 This Week
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  • 3
    Multimodal

    Multimodal

    TorchMultimodal is a PyTorch library

    ...The repository also includes example scripts and datasets for common multimodal tasks (e.g. retrieval, visual question answering, grounding) so you can test and compare models end to end. Installation supports both CPU and CUDA, and the codebase is versioned, tested, and maintained.
    Downloads: 0 This Week
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  • 4
    Hacker Scripts

    Hacker Scripts

    Based on a true story

    Hacker Scripts is a cheeky collection of small automation scripts and language ports collected under the tagline “Based on a true story.” The repository gathers playful utilities (originally shell and Ruby scripts) that automate short, real-world tasks — for example, sending a quick “late at work” text when SSH sessions are active, firing off an automated “I’m sick / working from home” email on certain mornings, or even talking to a networked coffee machine to start brewing at precisely the...
    Downloads: 562 This Week
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  • 5
    Tensor2Tensor

    Tensor2Tensor

    Library of deep learning models and datasets

    Deep Learning (DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection. In the research community, one can find code open-sourced by the authors to help in replicating their results and further advancing deep learning. However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments and...
    Downloads: 0 This Week
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