nanoGPT gets a qk_norm flag (off = upstream behaviour), a seed option and a resolved-config dump. run.py logs each run's git commit, config, data checksums, environment and metrics, and stops diverged runs. Claude-Session: https://claude.ai/code/session_01S8KN7NuUCm8nXLmy6eDuVv
39 lines
651 B
Plaintext
39 lines
651 B
Plaintext
# macOS / editors
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.DS_Store
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.obsidian/
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# Large or third-party files (kept locally, not in the repo)
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*.mp4
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05-course-materials/
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# LaTeX build artifacts
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*.aux
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*.log
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*.out
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*.toc
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*.fls
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*.fdb_latexmk
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*.synctex.gz
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*.bbl
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*.blg
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*.run.xml
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*.bcf
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# Personal AI-assisted reference draft — never for submission
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03-cs6513-paper/ref_draft.tex
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03-cs6513-paper/ref_draft.pdf
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# Python
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__pycache__/
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*.pyc
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.venv/
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# Experiment data, checkpoints and raw outputs (run metadata in runs/ IS tracked)
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06-experiments/data/*/
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06-experiments/vendor/
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06-experiments/runs/*/ckpt.pt
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06-experiments/runs/*/stdout.log
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# Literature-search API cache
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02-literature/search/.cache/
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