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og:description: This is a curated list of 15 GitHub repositories useful for developers. It includes sindresorhus/awesome, a huge index of curated resources, and The...
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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# A collection of great resources, books, roadmap, research papers, blogs, free and open-source software, recommended websites for programmers, ML resources, and much more!

**[Cale](https://daily.dev/sources/uhncvl2q7kcaoyylxgccn)** · [@cale](https://daily.dev/cale) · 197 upvotes · 12 comments

## Summary

This is a curated list of 15 GitHub repositories useful for developers. It includes sindresorhus/awesome, a huge index of curated resources, and The Algorithms, which implements data structures and algorithms across languages. Other picks cover building projects from scratch (build-your-own-x), free developer services (free-for-dev), free programming books, roadmap.sh career roadmaps, the OSSU computer science curriculum, engineering blogs, the system design primer, public APIs, open-source SaaS alternatives, research papers (Papers We Love), useful websites for programmers, and two 'from scratch' repos for building LLMs and ML algorithms in Python.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://caleb.is-a.dev/blog/15-amazing-github-repos>

## Community discussion

Top comments from developers on daily.dev.

**@bobbyiliev** · 16 upvotes

> Cool list! I’d also add this one here
>
>
> [https://github.com/The-DevOps-Daily/devops-daily](https://github.com/The-DevOps-Daily/devops-daily)
>
>
> Lots of free resources and interactive learning simulators

**@andrewma** · 13 upvotes

> saved : )

**@cale** · 11 upvotes

> Have I missed any?

**@dio77799** · 10 upvotes

> I read that this list compiles some of the best open-source roadmaps, free developer services, and foundational guides available. Great shortcut for anyone looking to level up their development toolkit without digging through noise!

**@ahmetozel** · 8 upvotes

> The Algorithms and build-your-own-x serve different learning goals, so I would pair each chosen resource with a small artifact rather than work through the list as a reading queue. An algorithm implementation becomes more useful when a learner can state its invariant and construct an input that breaks an incorrect version.
>
> For the from-scratch ML resources, the equivalent artifact could be a tiny implementation checked against a reference on fixed inputs before scaling up. That gives a stopping condition for each resource and makes gaps observable. It also helps distinguish understanding a...

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#open-source](https://daily.dev/tags/open-source), [#github](https://daily.dev/tags/github), [#system-design](https://daily.dev/tags/system-design)

[View this post on daily.dev](https://daily.dev/posts/a-collection-of-great-resources-books-roadmap-research-papers-blogs-free-and-open-source-softwa-qsllmvpx9)

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