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MBConv

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

MBConv appears in the code Syntology harvested for 10 papers, as 19 distinct code bodies found in 20 places (a place is one code body under one paper). At least one of them ran in 7 of the papers; 5 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 MBConv 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 10 of the 19 distinct code bodies named MBConv; 9 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
9ran
9unverified
5fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 20 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

10 papers shown of 10, newest first; 20 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
GET: Generative Embedding Translation for Medical Image Segmentation added by Syntology 2026-08 (from id) maklachur/GET/networks/embedding_translation.py a3e1a7f17b2b1e8d ran no licence file found · pointer only
Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics added by Syntology 2026-07 (from id) AutoBrain-sleep/OmniSleep/src/omnisleep/models.py e94a071c89ce6097 ran · metamorphic tier: invariant fingerprinted MIT (permissive)
DeepRed: an architecture for redshift estimation added by Syntology 2026-02 (from id) 1ArgoS1/PhotoZ/models.py 5d590116917d8e01 ran MIT (permissive)
Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models 14 Oct 2024 mit-han-lab/efficientvit/efficientvit/models/efficientvit/dc_ae.py 63542ac85cdf8517 unverified Apache-2.0 (permissive)
LDMVFI: Video Frame Interpolation with Latent Diffusion Models 16 Mar 2023 danielism97/ldmvfi/ldm/modules/maxvit.py 77053422accd9567 unverified MIT (permissive)
TinyViT: Fast Pretraining Distillation for Small Vision Transformers 21 Jul 2022 microsoft/cream/TinyViT/models/tiny_vit.py 5caeee4742e1a71a ran MIT (permissive)
MaxViT: Multi-Axis Vision Transformer 4 Apr 2022 lucidrains/vit-pytorch/vit_pytorch/max_vit.py 6b918699878401db ran · our draft was wrong MIT (permissive)
MaxViT: Multi-Axis Vision Transformer 4 Apr 2022 towhee-io/towhee/towhee/models/max_vit/max_vit.py 2df10618a97ad3c5 unverified Apache-2.0 (permissive)
EfficientNetV2: Smaller Models and Faster Training 1 Apr 2021 hankyul2/EfficientNetV2-pytorch/efficientnetv2/efficientnet_v2.py 5c4ec70828e49d68 ran fingerprinted Apache-2.0 (permissive)
EfficientNetV2: Smaller Models and Faster Training 1 Apr 2021 leondgarse/Keras_efficientnet_v2/keras_efficientnet_v2/efficientnet_v2.py 82eb14986b238976 unverified Apache-2.0 (permissive)
EfficientNetV2: Smaller Models and Faster Training 1 Apr 2021 d-li14/efficientnetv2.pytorch/effnetv2.py 2ae034e0700fa114 unverified MIT (permissive)
EfficientNetV2: Smaller Models and Faster Training 1 Apr 2021 DavidLandup0/deepvision/deepvision/models/classification/efficientnet/efficientnetv2.py dea1a4dc9a146df6 unverified Apache-2.0 (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 konstantinos-p/image_classification_SOTA/testing/models/efficientnet.py 355e6e1120d560a9 ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 JacobM184/EfficientNet-for-Gun-detection/BB.py 564f745d92b1336d ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 zsef123/EfficientNets-PyTorch/models/effnet.py 733d26522c639130 ran · metamorphic tier: deterministic no licence file found · pointer only
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 xslidi/EfficientNets_ddl_apex/models/effnet.py 87bb84ef873236e1 ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 canturan10/satellighte/satellighte/archs/efficientnet/module.py 96cb6ea5181b5b58 unverified MIT (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 facebookresearch/pycls/pycls/models/effnet.py bec8581da3932011 unverified MIT (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 pytorch/vision/torchvision/models/efficientnet.py fea90a6ba56fad7f unverified BSD-3-Clause (permissive)
arXiv:aaai_27912 danier97/LDMVFI/ldm/modules/maxvit.py 77053422accd9567 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