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Conv_2D_Block

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

Conv_2D_Block appears in the code Syntology harvested for 5 papers, as 7 distinct code bodies found in 8 places (a place is one code body under one paper). At least one of them ran in 4 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 Conv_2D_Block 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 4 of the 7 distinct code bodies named Conv_2D_Block; 3 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
2ran · fixture could not drive it
0ran
3unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 0 of the 8 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

5 papers shown of 5, newest first; 8 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
Aggregated Residual Transformations for Deep Neural Networks 16 Nov 2016 Sakib1263/1DResNet-Builder-KERAS/Codes/ResNet_2DCNN.py b6f21090a082496d ran · our draft was wrong MIT (permissive)
Aggregated Residual Transformations for Deep Neural Networks 16 Nov 2016 Sakib1263/ResNet-ResNeXt-1D-2D-Tensorflow-Keras/Codes/ResNeXt_2DCNN.py bc4f177853fb0067 ran · our draft was wrong MIT (permissive)
Aggregated Residual Transformations for Deep Neural Networks 16 Nov 2016 Sakib1263/1DResNet-Builder-KERAS/Codes/ResNet_v2_2DCNN.py bc70074dfc306687 unverified MIT (permissive)
Aggregated Residual Transformations for Deep Neural Networks 16 Nov 2016 Sakib1263/1DResNet-Builder-KERAS/Codes/SE_ResNet_2DCNN.py e18b2a8a1f307b4b unverified MIT (permissive)
Densely Connected Convolutional Networks 25 Aug 2016 Sakib1263/DenseNet-1D-2D-Tensorflow-Keras/Codes/DenseNet_2DCNN.py b660188e72021517 unverified MIT (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 Sakib1263/ResNet-ResNeXt-1D-2D-Tensorflow-Keras/Codes/ResNet_2DCNN.py b6f21090a082496d ran · our draft was wrong MIT (permissive)
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 11 Feb 2015 Sakib1263/VGG-Model-Builder-KERAS/Codes/VGG_2DCNN.py 12a688d4588443d2 ran · fixture could not drive it fingerprinted MIT (permissive)
Going Deeper with Convolutions 17 Sep 2014 Sakib1263/Inception-InceptionResNet-1D-2D-Tensorflow-Keras/Codes/Inception_2DCNN.py 872e84990e7a5288 ran · fixture could not drive it 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