wassname 90b11214f8 de-AI pass: drop em-dashes, flourishes; resolve in-file TODOs
- convert all prose ' -- ' to commas/periods/parens (left code/CLI/arrows)
- remove the antithesis flourish in the bisect step; inform not persuade
- de-telegraph "no model, no forward pass, no GPU. pure math."
- add non-exhaustive hedges (and so on / like) where lists implied closure
- fix typos: authoritative (x2), sklearn, it indented
- TODO: triage decision tree converted from ASCII art to nested bullets
- TODO: add Further reading section linking docs/evidence/* files

Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
2026-06-02 12:49:28 +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.

S
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