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normalize_images

Syntologyentry name in harvested coderead from the graph 2026-09-24

normalize_images appears in the code Syntology harvested for 8 papers, as 8 distinct code bodies found in 9 places (a place is one code body under one paper). At least one of them ran in 0 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named normalize_images do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 0 of the 8 distinct code bodies named normalize_images; 8 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
8unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 9 places is pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

8 papers shown of 8, newest first; 9 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive; 1 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images 4 Sep 2023 ggsding/sam-cd/datasets/Levir_CD.py 390aed77f1ae3026 unverified no licence file found · pointer only
Set Learning for Accurate and Calibrated Models 5 Jul 2023 lukasmut/oko/cifar10_preprocessing.py 386e205c9a797d9a unverified MIT (permissive)
SemPPL: Predicting pseudo-labels for better contrastive representations 12 Jan 2023 google-deepmind/semppl/utils/dataset.py 9299bed7da61102a unverified Apache-2.0 (permissive)
Toward Training at ImageNet Scale with Differential Privacy 28 Jan 2022 google-research/dp-imagenet/benchmark/cifar10_objax.py 394c0749c7ba9f69 unverified Apache-2.0 (permissive)
Toward Training at ImageNet Scale with Differential Privacy 28 Jan 2022 google-research/dp-imagenet/benchmark/cifar10_tf.py a8393da046583d5d unverified Apache-2.0 (permissive)
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? 13 Jan 2022 google-deepmind/relicv2/utils/dataset.py 9299bed7da61102a unverified Apache-2.0 (permissive)
Estimating Training Data Influence by Tracing Gradient Descent 19 Feb 2020 frederick0329/TracIn/imagenet/resnet50/preprocessing.py 1ae302f00326beec unverified Apache-2.0 (permissive)
Residual Dense Network for Image Super-Resolution 24 Feb 2018 DivJAth/DeepLearning5922/dummy_client.py 7b611f1478dce021 unverified MIT (permissive)
arXiv:aaai_29065 UBCDingXin/Dual-NDA/SteeringAngle/SteeringAngle_128x128/CcGAN/NDA/eval_metrics.py a2baad17144bf5f6 unverified MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections