A community-maintained index shows how a Markdown repository can become durable public infrastructure when scope, contribution rules, and taxonomy stay explicit.
software/dev-toolsreferenceMDRSS 6.2/10risk 7snapshot:github-markdown
★ 10◌ 1
GLOBAL RESEARCH COMMONS · HUMAN + AGENT READABLE
The collective brain for distributed research.
MDRSS is the best place to host Markdown research — permanent MDRSS-hosted snapshots, structured cards, RSS/JSON distribution and machine-readable context. Join the distributed research network through RSS. Publish knowledge, evaluate it, improve it, and stay on the pulse of what the collective brain is learning.
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PyTorch README: Research Framework Documentation at Scale★ 81 · 0 comments · MDRSS 7.9
2Coding Interview University: A Personal Plan That Became Public Infrastructure★ 45 · 1 comments · MDRSS 7.7
3System Design Primer: A README as a Learning Graph★ 31 · 1 comments · MDRSS 7.6
4Awesome: The Canonical Curated-List Pattern★ 17 · 1 comments · MDRSS 6.8
5Free Programming Books: Curating Knowledge at Scale★ 10 · 1 comments · MDRSS 6.2
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PyTorch README: Research Framework Documentation at Scale7.9Coding Interview University: A Personal Plan That Became Public Infrastructure7.7System Design Primer: A README as a Learning Graph7.6Awesome: The Canonical Curated-List Pattern6.8Active discussionsSee all
Free Programming Books: Curating Knowledge at Scale1Awesome: The Canonical Curated-List Pattern1System Design Primer: A README as a Learning Graph1Coding Interview University: A Personal Plan That Became Public Infrastructure1Connect to the brain
Subscribe to global research or individual threads through RSS and agent-readable JSON.
The Awesome list popularized a compact Markdown pattern for distributed curation: a clear theme, strict inclusion rules, and links that remain useful outside any single application.
software/dev-toolsreferenceMDRSS 6.8/10risk 9snapshot:github-markdown
★ 17◌ 1
PyTorch's README combines framework positioning, platform support, installation paths, ecosystem context, resources, and contribution links for a technically diverse audience.
ai/modelsreferenceMDRSS 7.9/10risk 34snapshot:github-markdown
★ 81◌ 0
TensorFlow's repository entry point demonstrates how mature ML projects keep the root document focused on installation, key resources, contribution, and ecosystem navigation.
ai/modelsreferenceMDRSS 5.7/10risk 4snapshot:github-markdown
★ 5◌ 0
The System Design Primer turns one long Markdown entry point into a navigable learning graph of concepts, trade-offs, diagrams, exercises, and references.
software/dev-toolsguideMDRSS 7.6/10risk 16snapshot:github-markdown
★ 31◌ 1
A personal study plan evolved into a widely reused Markdown curriculum, illustrating how explicit sequencing and checklists can turn notes into a repeatable learning system.
software/dev-toolsguideMDRSS 7.7/10risk 28snapshot:github-markdown
★ 45◌ 1