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EfficientNet

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

EfficientNet appears in the code Syntology harvested for 7 papers, as 26 distinct code bodies found in 26 places (a place is one code body under one paper). At least one of them ran in 2 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 EfficientNet 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 26 distinct code bodies named EfficientNet; 23 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
3ran
23unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 13 of the 26 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; 26 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
Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection 4 Mar 2024 qingyuliu/exposing-the-deception/models/MI_Net.py 26488aa7fc70e759 unverified Apache-2.0 (permissive)
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/applications/efficientnet.py b7f04958b9956ab3 unverified Apache-2.0 (permissive)
LocalBins: Improving Depth Estimation by Learning Local Distributions 28 Mar 2022 shariqfarooq123/localbins/models/localbins.py 174989f235ede289 unverified GPL-3.0 (copyleft) · pointer only
EfficientNetV2: Smaller Models and Faster Training 1 Apr 2021 jahongir7174/EfficientNetV2/nets/nn.py 4f25eeb823c2de8b ran fingerprinted Apache-2.0 (permissive)
EfficientNetV2: Smaller Models and Faster Training 1 Apr 2021 Klassikcat/project-NEXTLab-CNN-EfficientNet/EfficientNet_codestates/model/model.py 17727025309b999a unverified no licence file found · pointer only
Model-based 3D Hand Reconstruction via Self-Supervised Learning 22 Mar 2021 TerenceCYJ/S2HAND/efficientnet_pt/model.py 7348ef98d46623c2 unverified no licence file found · pointer only
Multi-attentional Deepfake Detection 3 Mar 2021 yoctta/multiple-attention/models/MAT.py 1bf7777ed9460905 unverified no licence file found · pointer only
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 chrisqqq123/FA-Dist-EfficientNet/models/efficientnet.py bf45f9808b476931 ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 zsef123/EfficientNets-PyTorch/models/effnet.py b54dcb0ff1ef33f6 ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 facebookresearch/ClassyVision/classy_vision/models/efficientnet.py 0b6d8d6cabdcc17f unverified MIT (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 canturan10/satellighte/satellighte/archs/efficientnet/module.py 09a35fc3459f078c unverified MIT (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 isaachaw/GrabCarRecognition/efficientnet/model.py da7004d73c684ef6 unverified GPL-3.0 (copyleft) · pointer only
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 xslidi/EfficientNets_ddl_apex/models/effnet.py 748aee49bbd751b5 unverified no licence file found · pointer only
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 abhuse/pytorch-efficientnet/efficientnet.py 453fbbf2e315aaff unverified MIT (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 tsing-cv/EfficientNet-tensorflow-eager/model.py 752ac97648764023 unverified no licence file found · pointer only
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 marcointrovigne/WeatherDetection/net/efficientnet.py ee3ddfb8b877c630 unverified no licence file found · pointer only
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 AmirmohammadRostami/KeywordsSpotting-EfficientNet-A0/utils/efficientnet_pytorch/model.py f3de0fad4310032a unverified MIT (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 lukemelas/EfficientNet-PyTorch/efficientnet_pytorch/model.py 4d5b23e16b0810db unverified Apache-2.0 (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 github-luffy/PFLD_68points_Pytorch/efficientnet/model.py 2f32f03864721673 unverified no licence file found · pointer only
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 Jintao-Huang/EfficientNet_PyTorch/models/efficientnet.py 2897ef9945b295ae unverified Apache-2.0 (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 Mayurji/Image-Classification-PyTorch/EfficientNet.py 294237129c3be0de unverified GPL-3.0 (copyleft) · pointer only
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 BobMcDear/pytorch-efficientnet/efficientnet.py 68480773e7901b00 unverified GPL-3.0 (copyleft) · pointer only
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 gouthamvgk/coreml_conversion_hub/pytorch/detection/efficientDet/Yet-Another-EfficientDet-Pytorch/efficientnet/model.py 51bba380030144c6 unverified no licence file found · pointer only
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 pytorch/vision/torchvision/models/efficientnet.py 0dbeb0f5401c92c0 unverified BSD-3-Clause (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 morganmcg1/stanford-cars/MEfficientNet_PyTorch/efficientnet_pytorch/model.py 7ad03c68b6d88fbb unverified Apache-2.0 (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 rohitgr7/tvmodels/tvmodels/models/blocks/effnet_blocks.py 85b74fda877bab0e 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