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Unet

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

Unet appears in the code Syntology harvested for 14 papers, as 36 distinct code bodies found in 36 places (a place is one code body under one paper). At least one of them ran in 7 of the papers; 1 of the code bodies carries 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 12 of the 36 distinct code bodies named Unet; 24 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
12ran
24unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 22 of the 36 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; 36 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 2 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
Reconstructing Randomly Masked Spectra Helps DNNs Identify Discriminant Wavenumbers added by Syntology 2026-06 (from id) Chaoscendence/TeaNet/code/train_model.py 93427dc71f549566 ran · metamorphic tier: deterministic MIT (permissive)
Enpowering Your Pansharpening Models with Generalizability: Unified Distribution is All You Need added by Syntology 2025-10 (from id) yc-cui/UniPAN/UniPAN/model/UAPN/network.py 8742bb5aa8380b46 ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction 4 Oct 2024 sjduan/graphcroc/GraphCroc/UNET.py cfcfbfc18037a032 ran · metamorphic tier: deterministic MIT (permissive)
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection 23 Jul 2024 VisualAIKHU/MonoWAD/visualDet3D/networks/detectors/MonoWAD.py e275d60eaaba6a01 unverified MIT (permissive)
Learning Trimodal Relation for AVQA with Missing Modality 23 Jul 2024 VisualAIKHU/Missing-AVQA/net_grd_avst/net_avst.py 44756209b5482bd6 unverified MIT (permissive)
Robust Singing Voice Transcription Serves Synthesis 16 May 2024 RickyL-2000/ROSVOT/modules/rosvot/rosvot.py ad1e7ac0df9b5540 unverified MIT (permissive)
Diversified and Personalized Multi-rater Medical Image Segmentation 20 Mar 2024 ycwu1997/D-Persona/D-Persona/code/lib/DPersona.py 027e3b920d3ea5ac unverified MIT (permissive)
G3DR: Generative 3D Reconstruction in ImageNet 1 Mar 2024 preddy5/G3DR/src/unet.py a8fea6a6d1e8a21e unverified no licence file found · pointer only
3D Human Texture Estimation from a Single Image with Transformers 6 Sep 2021 xuxy09/texformer/transformers/texformer.py b04049de994ee88d ran no licence file found · pointer only
Layout-Guided Novel View Synthesis from a Single Indoor Panorama 31 Mar 2021 facebookresearch/synsin/models/z_buffermodel.py 0ef6dc4f81adc4fb unverified licence not identified · pointer only
DISK: Learning local features with policy gradient 24 Jun 2020 fabio-sim/LightGlue-ONNX/lightglue_dynamo/models/disk/disk.py 7b149b05ea2f9297 ran Apache-2.0 (permissive)
Denoising Diffusion Probabilistic Models 19 Jun 2020 bot66/mnistdiffusion/model.py 533ba10eceea02a7 ran · metamorphic tier: deterministic MIT (permissive)
Denoising Diffusion Probabilistic Models 19 Jun 2020 sak-h/pytorch-Denoising-Diffusion-Probabilistic-Models/models/ddpm.py 20198eca190672b9 unverified no licence file found · pointer only
Denoising Diffusion Probabilistic Models 19 Jun 2020 yiyixuxu/denoising-diffusion-flax/denoising_diffusion_flax/unet.py 1a3194eda8c62a2c unverified Apache-2.0 (permissive)
Denoising Diffusion Probabilistic Models 19 Jun 2020 cjfghk5697/Pytorch-Research-Paper-Implementations/Diffusion/DDPM/models/model.py bf4172f6a11423b7 unverified MIT (permissive)
Denoising Diffusion Probabilistic Models 19 Jun 2020 explainingai-code/DDPM-Pytorch/models/unet_base.py 84ef656ebabf0f3d unverified MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 sungyoonahn/Hint-based-image-colorization-using-Attention-Unet/myUnet.py d878e71d38330aa2 ran · metamorphic tier: deterministic no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 irenazra/melanoma_segmentation_Unet/Unet/Unet.py 8b8a1c52a4c3de1c ran · metamorphic tier: deterministic no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 lyffly/Segmentation_with_my_dataset/unet.py 7130a92b9a0caab8 ran · metamorphic tier: deterministic no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 pranjalrai-iitd/Fetal-head-segmentation-and-circumference-measurement-from-ultrasound-images/Unet.py e421871fef4ab6d4 ran · metamorphic tier: deterministic no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 Jo-dsa/SemanticSeg/src/model.py 3ce4a2b6ad27ee8e ran · metamorphic tier: deterministic no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 Miltos-90/UNet_Biomedical_Image_Segmentation/UNet.py 6227d45ad8209bf7 ran no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 shenshutao/image_segmentation/models/unet.py 6c174b5ebdff7b45 unverified no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 Nguyendat-bit/U-net/model.py 6e32011ea06d1d45 unverified MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 akrsrivastava/Unet/unet.py 8c5bbb2c49c175e8 unverified no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 hoaitrinh459/RobotNhatBongTennis/Server/ShowResult.py b82a27c6b00f7718 unverified no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 javiergarciamolina/selfie-background-removal/background-removal-app.py 4fde63fcad295671 unverified no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 mberkay0/pretrained-backbones-unet/backbones_unet/model/unet.py a270e0e64935ab7c unverified MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 jakeret/tf_unet/tf_unet/unet.py 636a8a0708f27602 unverified GPL-3.0 (copyleft) · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 DeepTrial/Retina-VesselNet/py-network/model/unet.py 1dc2b7b065535960 unverified no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 shirans/cv_course_project/models/our_unet.py 36c8a5764f278055 unverified no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 jerichooconnell/tf_unet/tf_unet/unet.py 0d4876e845a30b1e unverified GPL-3.0 (copyleft) · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 YourGc/Unet_jinnan2/unet/Unet.py 667694cd682b5760 unverified no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 oliverz17/Unet_Keras/Segmentation_Unet.py b98ce0ae5066874b unverified no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 rrkotik/k_salt_identification/pytorch_zoo/unet.py 6e2baa24819602ff unverified no licence file found · pointer only
arXiv:ijcai2025_0890 Auguuust/DiffEC/Diffusion_based/DiffusionModels/noisePredictModels/Unet/_1DUNet.py 42bddf36ab33c011 unverified no licence file found · pointer only

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