Jupyter Notebook Cloud

Open-source Jupyter Notebook projects categorized as Cloud

Top 6 Jupyter Notebook Cloud Projects

  1. Deep-Learning-In-Production

    Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

  2. Stream

    Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.

    Stream logo
  3. practical-mlops-book

    [Book-2021] Practical MLOps O'Reilly Book

  4. learning-cloud

    Courses, sample code, articles & screencasts - AWS, Azure, & GCP

  5. aws-ml-guide

    [Video]AWS Certified Machine Learning-Specialty (ML-S) Guide

  6. deepcell-segmentation

    Tools & guidance to scale DeepCell segmentation on Google Cloud Batch

    Project mention: Performance trap: general libraries & helper objects | dev.to | 2024-10-09

    Here's the pull request: deepcell-imaging#358 Skip regionprops construction

  7. blog-tpi-jupyter

    Terraform Provider Iterative + Jupyter + TensorBoard + AWS/Azure/GCP/K8s

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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Index

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

# Project Stars
1 Deep-Learning-In-Production 1,154
2 practical-mlops-book 817
3 learning-cloud 657
4 aws-ml-guide 121
5 deepcell-segmentation 8
6 blog-tpi-jupyter 3

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Stream - Scalable APIs for Chat, Feeds, Moderation, & Video.
Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
getstream.io