chemistry-a-cut-variant-takes-its-analyses-with-it
SolidUse at literature survey, at study design, at every descope decision and again at writing, when the source's method is a family — the same module dropped into two or more backbones, or one architecture published in several named variants — and you are about to run only one of them. Covers listing which of the source's downstream analyses were produced from which variant before any of them is cut, shrinking a variant rather than deleting it, and what a saliency map, case study or ablation computed on the surviving variant is and is not evidence for.
Install
Quality Score: 85/100
Skill Content
Details
- Author
- tangxiangru
- Repository
- tangxiangru/AutoR
- Created
- 5 months ago
- Last Updated
- today
- Language
- Python
- License
- NOASSERTION
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
chemistry-accuracy-and-cost-for-every-module-you-swap-in
Use at study design, through experimentation and again at analysis when the method under test is a drop-in replacement for a standard layer — a different basis, kernel, activation family or transform — and the source claims the replacement is both more accurate and cheaper. Covers giving every alternative module a cell in the accuracy column and in the cost column, fixing one matching convention across both, and dividing the runtime by the invariant already sitting in your own results file before you publish a contradiction of the source's ratio.
model-sourcing
Vet the concrete third-party model a study will be built on — this repository, this revision, this checkpoint — not the architecture family. Records a model dossier (source and version pin, licence and the file it was read from, intended use, pretrained-weight provenance, model task vs study task, reported validation, what the model was developed on, your evaluation arms) and gates it deterministically. Catches what a licence check and a citation count cannot: an evaluation arm sitting on the benchmark the model was developed or tuned on, so the arm reads like validation while being closer to a training-set score. Also an evaluation set inside a pretraining corpus, an unstated or use-incompatible licence, an unpinned revision, and a hardware claim never executed. It vets an artifact; it never downloads or runs one.
chemistry-fill-every-row-of-the-comparator-table
Use at literature stage and study design when the source publishes performance broken out by class of system, and you are about to choose your evaluation panel with a filter written for throughput. Covers transcribing the table as rows, auditing the inclusion filter against those rows before it is frozen, and buying one target per row before a second target for any row.