Jupyter Notebook edge-computing

Open-source Jupyter Notebook projects categorized as edge-computing
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edge-ai Machine Learning Artificial intelligence Deep Learning Computer Vision
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Top 5 Jupyter Notebook edge-computing Projects

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  1. AI-in-a-Box

    AI-in-a-Box leverages the expertise of Microsoft across the globe to develop and provide AI and ML solutions to the technical community. Our intent is to present a curated collection of solution accelerators that can help engineers establish their AI/ML environments and solutions rapidly and with minimal friction.

  2. AppSignal

    AppSignal knows why the f*#k it crashed. Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise.

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  3. browser-ml-inference

    Edge Inference in Browser with Transformer NLP model

  4. rpi-urban-mobility-tracker

    The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.

  5. ekya

    Source code and datasets for Ekya, a system for continuous learning on the edge.

  6. timm-flutter-pytorch-lite-blogpost

    PyTorch at the Edge: Deploying Over 964 TIMM Models on Android with TorchScript and Flutter.

  7. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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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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Jupyter Notebook edge-computing related posts

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    1 project | /r/computervision | 13 Feb 2023
  • A note from our sponsor - AppSignal
    www.appsignal.com | 7 Aug 2026
    Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise. Learn more →

Index

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

# Project Stars
1 AI-in-a-Box 600
2 browser-ml-inference 316
3 rpi-urban-mobility-tracker 130
4 ekya 113
5 timm-flutter-pytorch-lite-blogpost 45

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AppSignal knows why the f*#k it crashed.
Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise.
www.appsignal.com

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