← all repositories
BAILOOL/DoYouEvenLearn

A curated survival guide for drowning in AI papers

A community-maintained index of local ML groups, arXiv tools, and YouTube channels for staying current without losing your mind.

1.1k stars Learning
DoYouEvenLearn
Velocity · 7d
+0.3
★ / day
Trend
steady
star history

What it does This repo is essentially a well-organized bookmark dump: a table of 30+ country-based AI/ML communities (from Argentina to Vietnam), plus a “Run on Start” section listing Reddit subs, arXiv portals, paper trackers like arXiv Sanity and PapersWithCode, and a dozen YouTube channels. The author admits it is “by no means exhaustive” and actively solicits contributions.

The interesting bit The local-community angle is the quiet workhorse here. Instead of yet another list of US-centric Twitter accounts, it surfaces meetups and Facebook groups in Bratislava, Riga, Karachi, and Ho Chi Minh City. For a field that talks endlessly about “global AI,” the resources are often surprisingly provincial; this at least attempts to correct the bias.

Key highlights

  • 30+ country-specific communities with member-suggested links
  • Curated arXiv entry points across CV, AI, learning, NLP, and evolutionary computing
  • Tools for finding code implementations: CatalyzeX (with browser extensions), PapersWithCode
  • Paper-monitoring services: Deep Learning Monitor, 42Papers, ML Treats
  • YouTube channels ranging from 3Blue1Brown’s visual intuitions to Yannic Kilcher’s paper walkthroughs

Caveats

  • Many links are Facebook groups and Meetup pages; longevity is uncertain
  • The README is a static list with no automation or RSS feeds
  • Some YouTube channel descriptions are truncated in the source

Verdict Worth a star if you are early in your ML journey or relocating to a new city and want to find your local tribe. Skip it if you already have a finely-tuned Zotero-and-Twitter pipeline; this is a starting point, not a power tool.

heatdrop uses Google Analytics to see which pages get read — nothing else. Your call. How we handle data.