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preprocess_for_train

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

preprocess_for_train appears in the code Syntology harvested for 10 papers, as 15 distinct code bodies found in 15 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 preprocess_for_train 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 15 distinct code bodies named preprocess_for_train; 15 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
15unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 15 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

10 papers shown of 10, newest first; 15 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. 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
VESSA: Video-based objEct-centric Self-Supervised Adaptation for Visual Foundation Models added by Syntology 2025-10 (from id) jesimonbarreto/VESSA/src/CO3D_dataset.py 30ba62bc00533432 unverified no licence file found · pointer only
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation 9 Aug 2020 google-research/heldout-influence-estimation/libdata/imagenet_preprocessing.py c46504ca7d0285e1 unverified Apache-2.0 (permissive)
Smooth Adversarial Training 25 Jun 2020 cihangxie/SmoothAdversarialTraining/EfficientNet/preprocessing.py a923706b61b129ea unverified MIT (permissive)
ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning 20 Aug 2019 MKLab-ITI/visil/model/nets/vgg_preprocessing.py 5348d906683c3ddb unverified Apache-2.0 (permissive)
A Geometric Approach to Obtain a Bird's Eye View from an Image 6 May 2019 SAmmarAbbas/birds-eye-view/preprocessing/vgg_preprocessing.py e5e1627b9d206d2e unverified Apache-2.0 (permissive)
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours 5 Apr 2019 dstamoulis/single-path-nas/nas-search/preprocessing.py bc13cc6b340f0924 unverified Apache-2.0 (permissive)
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware 8 Jun 2018 ftramer/slalom/python/preprocessing/cifarnet_preprocessing.py a7e384fd44f9fdc9 unverified MIT (permissive)
Tensor2Tensor for Neural Machine Translation 16 Mar 2018 Eamin-sust/tensor2tensor/tensor2tensor/data_generators/imagenet.py d0146eb229788856 unverified Apache-2.0 (permissive)
Tensor2Tensor for Neural Machine Translation 16 Mar 2018 Erra-Ernesto/master/tensor2tensor/data_generators/imagenet.py c31961a8f08b93ca unverified Apache-2.0 (permissive)
Tensor2Tensor for Neural Machine Translation 16 Mar 2018 Janice-M/tensorflow-lessons/tensor2tensor/data_generators/imagenet.py d323135519eb2eaa unverified Apache-2.0 (permissive)
Tensor2Tensor for Neural Machine Translation 16 Mar 2018 JiachenMao/TransfornerPrune/tensor2tensor/data_generators/imagenet.py 2ab69b6d79c736b0 unverified Apache-2.0 (permissive)
Densely Connected Convolutional Networks 25 Aug 2016 pudae/tensorflow-densenet/preprocessing/densenet_preprocessing.py 0a4e931538b20280 unverified Apache-2.0 (permissive)
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition 2 Aug 2016 MichiganCOG/M-PACT/models/c3d/default_preprocessing.py 1076f344b59ea48f unverified MIT (permissive)
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition 2 Aug 2016 MichiganCOG/M-PACT/models/c3d/tf_version_HMDB51_preprocessing.py 5209697119958449 unverified MIT (permissive)
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition 2 Aug 2016 MichiganCOG/M-PACT/models/i3d/default_preprocessing.py 684ff8396e14fded 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