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ResNet101

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

ResNet101 appears in the code Syntology harvested for 11 papers, as 11 distinct code bodies found in 11 places (a place is one code body under one paper). At least one of them ran in 3 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 ResNet101 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 11 distinct code bodies named ResNet101; 8 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
0ran · fixture could not drive it
0ran
8unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 11 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

11 papers shown of 11, newest first; 11 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; 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
OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework added by Syntology 2026-06 (from id) shengze-xu/OrderDP/cifar/model.py 2595afb92d0b7b6c unverified no licence file found · pointer only
Classifier-guided Gradient Modulation for Enhanced Multimodal Learning 3 Nov 2024 zrguo/CGGM/models/segmodel.py 6aa213f79f005ec4 unverified MIT (permissive)
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding 12 Oct 2022 NormXU/ERNIE-Layout-Pytorch/networks/visual_backbone.py 015a941d044dac12 unverified MIT (permissive)
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation 18 Mar 2022 lslrh/CPSL/models/adaptation_modelv2.py 3fdfa7a5ae64d9f9 unverified no licence file found · pointer only
Dual Path Learning for Domain Adaptation of Semantic Segmentation 13 Aug 2021 royee182/DPL/DPL_master/model/deeplab.py c44e4869263db29a unverified no licence file found · pointer only
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation 26 Jan 2021 microsoft/ProDA/models/adaptation_modelv2.py 724f27e7f6fe421c unverified MIT (permissive)
Exploring Simple Siamese Representation Learning 20 Nov 2020 Reza-Safdari/SimSiam/simsiam/model_factory.py ed0e4015879df242 ran · our draft was wrong no licence file found · pointer only
Bootstrap your own latent: A new approach to self-supervised Learning 13 Jun 2020 liyi01827/noisy-contrastive/simsiam/model_factory.py 1d47aaa21a3bb862 ran · our draft was wrong no licence file found · pointer only
Kervolutional Neural Networks 8 Apr 2019 liuch37/Kerception/models/resnet.py ceed7484006a1872 unverified Apache-2.0 (permissive)
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation 7 Feb 2018 mlearing/pytorch-deeplab-v3-plus/networks/deeplab_resnet.py 5b3058ed46740fef ran · our draft was wrong MIT (permissive)
arXiv:2025.emnlp-main.688 yueen-ma/Astra/model/visual_model/resnet_encoder.py 70f9803c8c020b39 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