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train_transform

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

train_transform appears in the code Syntology harvested for 7 papers, as 10 distinct code bodies found in 12 places (a place is one code body under one paper). At least one of them ran in 3 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 train_transform 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 2 of the 10 distinct code bodies named train_transform; 8 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
1ran
8unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 12 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

7 papers shown of 7, newest first; 12 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 1 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
LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation added by Syntology 2026-07 (from id) iamjingli/LFM/train_target.py ada9656c14c75934 ran · our draft was wrong MIT (permissive)
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation 6 Mar 2024 ispc-lab/glc/dataset/dataset.py ada9656c14c75934 ran · our draft was wrong no licence file found · pointer only
Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator 31 Aug 2023 xlwangdev/hc-net/models/utils/augment.py 3e556e6b3e1fabe2 ran no licence file found · pointer only
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies 25 Mar 2023 Eacient/EfficientAD/efficientad.py 65449a6185e6dc7f unverified Apache-2.0 (permissive)
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies 25 Mar 2023 Eacient/EfficientAD/pretraining.py 077ad902098508f5 unverified Apache-2.0 (permissive)
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies 25 Mar 2023 Zaza-97/EfficientAD/efficientad.py a213bdb9746b0401 unverified Apache-2.0 (permissive)
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies 25 Mar 2023 Zaza-97/EfficientAD/pretraining.py 08b41ec7d5727026 unverified Apache-2.0 (permissive)
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies 25 Mar 2023 cinout/EfficientAD/efficientad_twosteps.py b831876f274e1ec4 unverified Apache-2.0 (permissive)
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies 25 Mar 2023 cinout/EfficientAD/pretraining.py d1db9216b1ac0ae2 unverified Apache-2.0 (permissive)
CLIPstyler: Image Style Transfer with a Single Text Condition 1 Dec 2021 paper11667/clipstyler/train_fast.py eb56729cc2a4d978 unverified MIT (permissive)
SRH-Net: Stacked Recurrent Hourglass Network for Stereo Matching 25 May 2021 hongzhidu/SRHNet/dataloader/dataset.py 010a8bc4cac07920 unverified MIT (permissive)
arXiv:Kwon_CLIPstyler_Image_Style_Transfer_With_a_Single_Text_Condition_CVPR_2022_paper cyclomon/CLIPstyler/train_fast.py eb56729cc2a4d978 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".

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