wassname 715164416b loop: add likelihood-ratio test selection, path bisection, falsifiers, pseudocode
- triplet now carries a prior + cheapest falsifier (Check:) per hypothesis
- discriminating-test step: forward-predict each hypothesis, prefer where
  predictions diverge (strong vs weak evidence) instead of just "discriminating"
- new step: bisect the forward/backward path to localize where it breaks
- compact pseudocode summary of the whole loop
- resolve FIXME: drop references to the non-public research-journal skill

Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
2026-06-02 12:06:30 +08:00
2026-04-09 05:09:25 +08:00
2026-04-09 05:09:25 +08:00

ML Debugging Folklore

Practitioner knowledge for debugging ML systems, curated and synthesized by wassname. Opinionated by source selection -- I picked sources I trust (Schulman, Goodfellow, CS231n, ...) and had an LLM extract the most relevant information for debugging ML systems.

Use as a Claude skill

/skills add https://github.com/wassname/ml_debug

Or paste SKILL.md into your system prompt / context when debugging.

What's here

  • SKILL.md -- the main artifact. Load into an LLM agent's context as a debugging skill. Parts 1-5 are reference knowledge; Part 6 is a runnable triage protocol (grep patterns, diagnostic snippets, decision tree); Part 7 is debugging mental models and practitioner priors.

  • docs/evidence/ -- frozen local copies of source material (blog posts, talks, papers, reddit threads). Claims in SKILL.md link back to exact quotes here.

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