Jupyter Notebook image-captioning

Open-source Jupyter Notebook projects categorized as image-captioning
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Topics: vision-language-transformer dataset-generation dataset-analysis deep-learning-library Salesforce
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Top 3 Jupyter Notebook image-captioning Projects

  • LAVIS

    LAVIS - A One-stop Library for Language-Vision Intelligence

    • Project mention: FLaNK AI for 11 March 2024 | dev.to | 2024-03-11

  • BLIP

    PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

    • Project mention: MetaCLIP – Meta AI Research | news.ycombinator.com | 2023-10-26

    I suggest trying BLIP for this. I've had really good results from that.

    https://github.com/salesforce/BLIP

    I built a tiny Python CLI wrapper for it to make it easier to try: https://github.com/simonw/blip-caption

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo

  • inscriptor

    Blip 2 Captioning, Mass Captioning, Question Answering, and other tools.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

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    www.saashub.com | 10 May 2024
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Index

What are some of the best open-source image-captioning projects in Jupyter Notebook? This list will help you:

Project Stars
1 LAVIS 8,781
2 BLIP 4,278
3 inscriptor 3

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