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  • 1
    STORM

    STORM

    An LLM-powered knowledge curation system that researches topics

    STORM is an open-source virtual assistant framework developed by Stanford's OVAL lab. It is designed for creating natural language interfaces and assistants that can interact with APIs, databases, and services in a modular way.
    Downloads: 3 This Week
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  • 2
    Bolt NLP

    Bolt NLP

    Bolt is a deep learning library with high performance

    Bolt is a high-performance deep learning inference framework developed by Huawei Noah's Ark Lab. It is designed to optimize and accelerate the deployment of deep learning models across various hardware platforms. Bolt is a light-weight library for deep learning. Bolt, as a universal deployment tool for all kinds of neural networks, aims to automate the deployment pipeline and achieve extreme acceleration. Bolt has been widely deployed and used in many departments of HUAWEI company, such as 2012 Laboratory, CBG and HUAWEI Product Lines. ...
    Downloads: 1 This Week
    Last Update:
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  • 3
    Self-Attentive Parser

    Self-Attentive Parser

    High-accuracy NLP parser with models for 11 languages

    LightAutoML is an automated machine learning (AutoML) framework developed by Sberbank AI Lab, designed to facilitate the development of machine learning models with minimal human intervention.
    Downloads: 0 This Week
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  • 4
    NLP Architect

    NLP Architect

    A model library for exploring state-of-the-art deep learning

    NLP Architect is an open-source Python library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing and Natural Language Understanding neural networks. The library includes our past and ongoing NLP research and development efforts as part of Intel AI Lab. NLP Architect is designed to be flexible for adding new models, neural network components, data handling methods, and for easy training and running models. NLP Architect is a model-oriented library designed to showcase novel and different neural network optimizations. The library contains NLP/NLU-related models per task, different neural network topologies (which are used in models), procedures for simplifying workflows in the library, pre-defined data processors and dataset loaders and misc utilities. ...
    Downloads: 0 This Week
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  • 5
    artext

    artext

    Probabilistic Noising of Natural Language

    ...This is a work in progress, and we will publish the results of our experiments soon. Meanwhile, if you use artext in your research please cite this repository. Github: https://github.com/nlpcl-lab/artext
    Downloads: 0 This Week
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