Home › Code › Normalization

Normalization

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

Normalization appears in the code Syntology harvested for 11 papers, as 10 distinct code bodies found in 11 places (a place is one code body under one paper). At least one of them ran in 9 of the papers; 4 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 Normalization 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 8 of the 10 distinct code bodies named Normalization; 2 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
1ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
6ran
2unverified
4fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 11 places are 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

11 papers shown of 11, newest first; 11 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, and the graph's for 3 papers added by Syntology; 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
Taming foundation model with invariance-oriented pre-training for broad-spectrum EEG analysis across signal-level, brain-state, and brain-health tasks added by Syntology 2026-08 (from id) jingyingma01/CodeBrain/Models/SSSM.py 6e10551ad32d731d ran fingerprinted Apache-2.0 (permissive)
Piecewise Dynamic Diffusion Regularization for Reconstruction of Cardiac Cine MRI added by Syntology 2026-07 (from id) MLI-lab/pddr/baselines/fmlp.py 0ff9abe83599db9c ran · violated contract fingerprinted BSD-2-Clause (permissive)
CoordLight: Learning Decentralized Coordination for Network-Wide Traffic Signal Control added by Syntology 2026-03 (from id) marmotlab/CoordLight/Models/CoordLightModel.py 0c6fcba4acde220a ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
Cross-Problem Learning for Solving Vehicle Routing Problems 17 Apr 2024 zhuoyi-lin/cross_problem_learning/nets/attention_model.py d7486b45b2dfeb02 ran · metamorphic tier: deterministic MIT (permissive)
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts 28 Dec 2023 zhaoziheng/sat-ds/loader.py a6bc7496b6b250f9 ran fingerprinted no licence file found · pointer only
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation 17 Jul 2023 tliu1997/rnac/train_rnac.py 609d32bfa5631924 ran no licence file found · pointer only
Implicit Neural Networks with Fourier-Feature Inputs for Free-breathing Cardiac MRI Reconstruction 11 May 2023 mli-lab/cinemri/src/models/fmlp.py 0ff9abe83599db9c ran · violated contract fingerprinted no licence file found · pointer only
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer 6 Oct 2021 yining043/VRP-DACT/nets/actor_network.py 08bc67177889a2b3 ran · metamorphic tier: invariant MIT (permissive)
SSH: A Self-Supervised Framework for Image Harmonization 15 Aug 2021 vita-group/ssharmonization/unet_tile_se_norm.py 86cd90fd8e12a1f3 ran · our draft was wrong licence not identified · pointer only
Deep Metric Learning for Open World Semantic Segmentation 10 Aug 2021 Jun-CEN/Open-World-Semantic-Segmentation/DeepLabV3Plus-Pytorch/main_distillation.py 345e436021e6eb22 unverified MIT (permissive)
arXiv:Zhang_Towards_Adversarial_Robustness_via_Debiased_High-Confidence_Logit_Alignment_ICCV_2025_paper KejiaZhang-Robust/DHAT/models/utils.py 6f09136a784ff386 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