Showing 2 open source projects for "quality"

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  • 1
    refinery

    refinery

    Open-source choice to scale, assess and maintain natural language data

    ...You are one of the people we've built refinery for. refinery helps you to build better NLP models in a data-centric approach. Semi-automate your labeling, find low-quality subsets in your training data, and monitor your data in one place. refinery doesn't get rid of manual labeling, but it makes sure that your valuable time is spent well. Also, the makers of refinery currently work on integrations to other labeling tools, such that you can easily switch between different choices. refinery is a multi-repository project, you can find all integrated services in the architecture below. ...
    Downloads: 2 This Week
    Last Update:
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  • 2
    finetuner

    finetuner

    Task-oriented finetuning for better embeddings on neural search

    ...With Finetuner, you can easily enhance the performance of pre-trained models, making them production-ready without extensive labeling or expensive hardware. Create high-quality embeddings for semantic search, visual similarity search, cross-modal text image search, recommendation systems, clustering, duplication detection, anomaly detection, or other uses. Bring considerable improvements to model performance, making the most out of as little as a few hundred training samples, and finish fine-tuning in as little as an hour.
    Downloads: 0 This Week
    Last Update:
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