4 projects for "data chart" with 2 filters applied:

  • $300 Free Credits for Your Google Cloud Projects Icon
    $300 Free Credits for Your Google Cloud Projects

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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

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  • 1
    Flint Chart

    Flint Chart

    Visualization language that lets AI agents create expressive charts

    Flint Chart is a visualization language and compiler built for AI-era chart creation. It lets agents and humans write compact, editable chart specifications without manually tuning every axis, label, scale, legend, or layout setting. The compiler uses data, semantic types, chart type, and encodings to derive polished chart settings automatically.
    Downloads: 6 This Week
    Last Update:
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  • 2
    DeepSeek-OCR

    DeepSeek-OCR

    Contexts Optical Compression

    DeepSeek-OCR is an open-source optical character recognition solution built as part of the broader DeepSeek AI vision-language ecosystem. It is designed to extract text from images, PDFs, and scanned documents, and integrates with multimodal capabilities that understand layout, context, and visual elements beyond raw character recognition. The system treats OCR not simply as “read the text” but as “understand what the text is doing in the image”—for example distinguishing captions from body...
    Downloads: 9 This Week
    Last Update:
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  • 3
    AutoViz

    AutoViz

    Automatically Visualize any dataset, any size

    AutoViz is a Python data visualization library designed to automate exploratory data analysis by generating multiple visualizations with minimal code. The primary goal of the project is to help data scientists and analysts quickly understand patterns, relationships, and anomalies within datasets without manually writing complex plotting code. With a single command, the library can automatically generate dozens of charts and graphs that reveal insights into the structure and quality of the...
    Downloads: 0 This Week
    Last Update:
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  • 4
    Qwen2.5-VL-3B-Instruct

    Qwen2.5-VL-3B-Instruct

    Qwen2.5-VL-3B-Instruct: Multimodal model for chat, vision & video

    Qwen2.5-VL-3B-Instruct is a 3.75 billion parameter multimodal model by Qwen, designed to handle complex vision-language tasks in both image and video formats. As part of the Qwen2.5 series, it supports image-text-to-text generation with capabilities like chart reading, object localization, and structured data extraction. The model can serve as an intelligent visual agent capable of interacting with digital interfaces and understanding long-form videos by dynamically sampling resolution and frame rate. It uses a SwiGLU and RMSNorm-enhanced ViT architecture and introduces mRoPE updates for robust temporal and spatial understanding. ...
    Downloads: 0 This Week
    Last Update:
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