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relu6

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

relu6 appears in the code Syntology harvested for 14 papers, as 10 distinct code bodies found in 15 places (a place is one code body under one paper). At least one of them ran in 3 of the papers; 3 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 relu6 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 3 of the 10 distinct code bodies named relu6; 7 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

3ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
7unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 15 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

14 papers shown of 14, 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. 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
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models 14 Mar 2023 keras-team/keras/keras/src/activations/activations.py 2d9c9582df92bc5e unverified Apache-2.0 (permissive)
A Two-Stage Approach to Device-Robust Acoustic Scene Classification 3 Nov 2020 MihawkHu/DCASE2020_task1/other_TF2_format_pretrained/fcnn_att.py 12cf81ec779a163f unverified MIT (permissive)
DAmageNet: A Universal Adversarial Dataset 16 Dec 2019 XingLiangLondon/Image-Similarity-in-Percentage/mobilenet.py f124399d87a3224b unverified MIT (permissive)
Searching for MobileNetV3 6 May 2019 OniroAI/Instance-segmentation-with-MobileNetV3/modules/keras_models.py 02cff13546af958b ran · honoured contract fingerprinted GPL-3.0 (copyleft) · pointer only
RetinaFace: Single-stage Dense Face Localisation in the Wild 2 May 2019 bubbliiiing/retinaface-keras/nets/mobilenet.py f124399d87a3224b unverified MIT (permissive)
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation 2 Aug 2018 CodePlay2016/BiSENet-TF/models/bisenet.py fcc1c65dadc2827f unverified MIT (permissive)
CBAM: Convolutional Block Attention Module 17 Jul 2018 kobiso/CBAM-keras/models/mobilenets.py f124399d87a3224b unverified MIT (permissive)
Shape Robust Text Detection with Progressive Scale Expansion Network 7 Jun 2018 li10141110/PSENet-tf2/MobileNetV2/mobilenet_v2.py d51adc9e749c6f92 unverified Apache-2.0 (permissive)
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation 7 Feb 2018 sara-nl/SURF-segmentation/deeplab/keras-deeplab-v3-plus-master/model.py e7a210769e38826c ran · honoured contract fingerprinted no licence file found · pointer only
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 ayoolaolafenwa/orangelib/orangelib/orangelib/net.py db5c06ceda32e963 ran · honoured contract fingerprinted MIT (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 xiaochus/MobileNetV2/mobilenet_v2.py d51adc9e749c6f92 unverified MIT (permissive)
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 17 Apr 2017 saghiralfasly/VFL-Vehicle-Re-Id/models/Mob_VFL.py f124399d87a3224b unverified no licence file found · pointer only
COCO-Stuff: Thing and Stuff Classes in Context 12 Dec 2016 divyanshpuri02/COCO_2018-Stuff-Segmentation-Challenge/COCO_2018-Stuff-Segmentation-Challenge/keras_segmentation/models/mobilenet.py a18ef743a6887e2f unverified MIT (permissive)
Instance Normalization: The Missing Ingredient for Fast Stylization 27 Jul 2016 Net-Mist/style-transfer-tf2/src/model.py 4ab5b6864f23abf4 unverified MIT (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 fchollet/deep-learning-models/mobilenet.py f124399d87a3224b 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