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littleosbook avatar

littleosbook/littleosbook

0
View on GitHub↗
2,642 stars·284 forks·CSS·15 viewslittleosbook.github.io↗

Littleosbook

Source for the little book about OS development

Features

  • Computer Science - Practical guide to building a simple operating system.

Star history

Star history chart for littleosbook/littleosbookStar history chart for littleosbook/littleosbook

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Littleosbook

These projects share indexed features with Littleosbook. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • academic/awesome-datascienceacademic avatar

    academic/awesome-datascience

    29,416View on GitHub↗

    This project is a comprehensive, community-driven knowledge repository that serves as a centralized hub for data science resources. It provides a structured index of educational materials, software packages, and professional development tools designed to support both students and practitioners in navigating the data science landscape. The repository distinguishes itself through a hierarchical taxonomy that organizes a vast collection of external links into a human-readable, markdown-based document. By relying on distributed contributions, the project maintains an up-to-date snapshot of the fi

    analyticsawesome-listdata-mining
    View on GitHub↗29,416
  • alexnisnevich/untrustedAlexNisnevich avatar

    AlexNisnevich/untrusted

    4,654View on GitHub↗

    Untrusted is a web-based programming puzzle and meta-programming game where progress is achieved by rewriting the active JavaScript source code while the application is running. It functions as a code-editing adventure game that combines programming education with puzzle gameplay. The experience centers on real-time logic modification, requiring players to edit scripts to change environmental rules, manipulate game behavior, and resolve puzzle-based objectives. This interactive code editing allows players to overwrite active functions and variables to overcome obstacles. The project includes

    JavaScript
    View on GitHub↗4,654
  • altamiracorp/awesome-xaialtamiracorp avatar

    altamiracorp/awesome-xai

    190View on GitHub↗

    Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources

    awesomeawesome-listexplanations
    View on GitHub↗190
  • aaronhma/awesome-tensorflow-jsaaronhma avatar

    aaronhma/awesome-tensorflow-js

    186View on GitHub↗

    Awesome TensorFlow.js - A curated list of dedicated resources to master TensorFlow.js

    awesomeawesome-listmachine-learning
    View on GitHub↗186
Compare all 30 related projects→

Frequently asked questions

What does littleosbook/littleosbook do?

Source for the little book about OS development

What are the main features of littleosbook/littleosbook?

The main features of littleosbook/littleosbook are: Computer Science.

Which projects share features with littleosbook/littleosbook?

Projects with overlapping indexed features include: academic/awesome-datascience — This project is a comprehensive, community-driven knowledge repository that serves as a centralized hub for data… alexnisnevich/untrusted — Untrusted is a web-based programming puzzle and meta-programming game where progress is achieved by rewriting the… altamiracorp/awesome-xai — Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources. analysis-tools-dev/static-analysis — This project is a comprehensive, curated directory of static analysis, linting, and security scanning utilities. It… arbox/machine-learning-with-ruby — Curated list: Resources for machine learning in Ruby. aaronhma/awesome-tensorflow-js — Awesome TensorFlow.js - A curated list of dedicated resources to master TensorFlow.js.