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unet

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

unet appears in the code Syntology harvested for 13 papers, as 29 distinct code bodies found in 30 places (a place is one code body under one paper). At least one of them ran in 5 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 unet 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 29 distinct code bodies named unet; 19 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
3ran · fixture could not drive it
6ran
19unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 13 of the 30 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

13 papers shown of 13, newest first; 30 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
XNet v2: Fewer Limitations, Better Results and Greater Universality 2 Sep 2024 yanfeng-zhou/xnetv2/models/networks_2d/unet.py 5c1d672f866c6d11 ran MIT (permissive)
WCEbleedGen: A wireless capsule endoscopy dataset and its benchmarking for automatic bleeding classification, detection, and segmentation 22 Aug 2024 misahub2023/benchmarking-codes-of-the-wcebleedgen-dataset/model_segment.py a6b72ff5cf4c555a ran no licence file found · pointer only
Human-Inspired Facial Sketch Synthesis with Dynamic Adaptation 1 Sep 2023 AiArt-HDU/HIDA/SIFID/sifid_unet.py 6dabcfa4fdc06477 ran MIT (permissive)
Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences 28 Aug 2023 zhishenhuang/RLsamp/unet/unet_model_banding_removal_fbr.py d2007e766a5650df unverified no licence file found · pointer only
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining 20 Jul 2021 BBillot/SynthSR/ext/neuron/models.py ccdf75b227c739c8 unverified Apache-2.0 (permissive)
Defocus Deblurring Using Dual-Pixel Data 1 May 2020 Abdullah-Abuolaim/defocus-deblurring-dual-pixel/DPDNet/model.py 7b3eae468fe34143 unverified MIT (permissive)
A Learning Strategy for Contrast-agnostic MRI Segmentation 4 Mar 2020 BBillot/hypothalamus_seg/ext/neuron/models.py a3e1213061f59f1e unverified Apache-2.0 (permissive)
FSGAN: Subject Agnostic Face Swapping and Reenactment 16 Aug 2019 YuvalNirkin/fsgan/fsgan/models/simple_unet.py 93669c551b4bdb0f unverified CC0-1.0 (permissive)
Multi-level Wavelet Convolutional Neural Networks 6 Jul 2019 AureliePeng/Keras-WaveletTransform/models/unet.py 2a80596002c65276 unverified MIT (permissive)
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video 27 May 2019 seuqaj114/paig/nn/network/blocks.py 9499f44469865a2f unverified MIT (permissive)
Phase-aware Speech Enhancement with Deep Complex U-Net 7 Mar 2019 tarit21/Speech-Enhancement-module/model_unet.py 38bc458f2cf9c0c8 ran · fixture could not drive it MIT (permissive)
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/unet.py 828b452ccafcf471 unverified MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 OlgaFomin/Speech-enhancement/model_unet.py 38bc458f2cf9c0c8 ran · fixture could not drive it MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 samson6460/tf2_pose_estimation/models/unet_model.py f00c366c39ca337e ran · fixture could not drive it no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 iarai/landslide4sense-2022/model/Networks.py 47e06c6dc19d6260 ran · metamorphic tier: deterministic MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 MohamedFarag21/DL-papers-implementation/Computer_vision/UNET/Code/U_Net(Pytorch_Implementation).py 6211e4f66a9c8eed ran MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 oliverquintana/UnetSegmentation/model.py b8763d8ff4275c3f ran no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 upc-postgrads/BrainScan/src/models/unet_keras.py 925176f1747e6da6 ran · fixture could not drive it no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 Zhz1997/Singing-voice-speration-with-U-Net/src/model.py 1eca38ecb166c2d4 ran · our draft was wrong no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 JifeiWang-WHU/Pytorch_Building_extraction/Keras-Residual Unet/model_unet.py 05a287148bd49bfd unverified no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 divamgupta/image-segmentation-keras/keras_segmentation/models/unet.py 9db93d3f963befe5 unverified MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 FelixGruen/tensorflow-u-net/architecture/networks.py f33f402a13d2a1fa unverified GPL-3.0 (copyleft) · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 e9190712/vessel_segmentation/Original_Unet.py 869af6109fe077dd unverified no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 a-martyn/unet/model/unet_baseline.py 318915fd04d734f7 unverified no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 aritzLizoain/Image-segmentation/Code/models.py 7ad076271e7b4f96 unverified MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 Maveric4/pr19aaw01/SRC/keras_segmentation/models/unet.py 6e6f02b15a53277d unverified no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 alexklibisz/deep-calcium/deepcalcium/models/neurons/unet_2d_summary.py bbfd3bba2625677b unverified no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 samson6460/tf2_Segmentation/models/unet_model.py 913c00dd6fe2e5e2 unverified no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 overshiki/unet-pytorch/model.py 8d62b89455dca7d9 unverified MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 zhixuhao/unet/model.py 7187bc616fba4e6b 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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