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UpConv

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

UpConv appears in the code Syntology harvested for 9 papers, as 12 distinct code bodies found in 12 places (a place is one code body under one paper). At least one of them ran in 4 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 UpConv 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 7 of the 12 distinct code bodies named UpConv; 5 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
7ran
5unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 12 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

9 papers shown of 9, newest first; 12 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 1 papers added by Syntology. 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
Johnson-Lindenstrauss Lemma Guided Network for Efficient 3D Medical Segmentation added by Syntology 2025-09 (from id) JinPLu/VeloxSeg/model/VeloxSeg.py 80cb9d93fe2a3e85 ran no licence file found · pointer only
HNeRV: A Hybrid Neural Representation for Videos 5 Apr 2023 haochen-rye/hnerv/model_all.py a44d6c3b8812b4e0 ran · metamorphic tier: invariant fingerprinted no licence file found · pointer only
Hybrid Spectral Denoising Transformer with Guided Attention 16 Mar 2023 Zeqiang-Lai/HSDT/train/model/hsdt/qrnn/arch.py 977e69ed58e173b8 unverified MIT (permissive)
RainUNet for Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts 7 Dec 2022 jinyxp/weather4cast-2022/models/RainUNET.py 0e0c16f47f48ed39 unverified MIT (permissive)
Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation Network 6 Dec 2022 seominseok0429/w4c22-simple-baseline-for-weather-forecasting-using-spatiotemporal-context-aggregation-network/models/SIANet.py 5181d312a7324942 unverified licence not identified · pointer only
Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition 5 Dec 2022 hyeonjeong1/22-neurips-competition-baseline/models/baseline_UNET3D_bottleneck.py 40e9d8fea0f141f8 unverified no licence file found · pointer only
Unsupervised Change Detection of Extreme Events Using ML On-Board 4 Nov 2021 spaceml-org/RaVAEn/src/models/ae_vae_models/deeper_vae.py 735b680247c52d1a ran fingerprinted GPL-3.0 (copyleft) · pointer only
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation 21 Jun 2016 elektronn/elektronn3/elektronn3/models/unet.py 54df8e2e39fdda93 unverified MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 burakalperen/Pytorch-Semantic-Segmentation/UNet_Multi-class/models/model.py 0d6daebab21f36fa ran · metamorphic tier: deterministic no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 shanglianlm0525/CvPytorch/src/models/unet.py 7848689436d4bec8 ran · metamorphic tier: deterministic MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 minerva-ml/open-solution-mapping-challenge/src/steps/pytorch/architectures/unet.py bdee6f3f0b8952a4 ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 neuropoly/multiclass-segmentation/models.py 86007241593d34bb ran 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