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make_conv1d_layers

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

make_conv1d_layers appears in the code Syntology harvested for 8 papers, as 2 distinct code bodies found in 8 places (a place is one code body under one paper). At least one of them ran in 7 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 make_conv1d_layers 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 1 of the 2 distinct code bodies named make_conv1d_layers; 1 is 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
1ran
1unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 8 places is 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

8 papers shown of 8, 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; 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
HandBooster: Boosting 3D Hand-Mesh Reconstruction by Conditional Synthesis and Sampling of Hand-Object Interactions 27 Mar 2024 hxwork/HandBooster_Pytorch/HandReconstruction/model/layer.py 41843763717707cc ran MIT (permissive)
Extract-and-Adaptation Network for 3D Interacting Hand Mesh Recovery 5 Sep 2023 jkpark0825/eanet/common/nets/layer.py 41843763717707cc ran no licence file found · pointer only
JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery 31 Jul 2023 xljh0520/jotr/common/nets/layer.py 41843763717707cc ran MIT (permissive)
HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning 2 Feb 2023 zxz267/HaMuCo/models/module.py 41843763717707cc ran MIT (permissive)
Interacting Hand-Object Pose Estimation via Dense Mutual Attention 16 Nov 2022 rongakowang/densemutualattention/common/nets/layer.py 7028b78d1d3a2f93 unverified MIT (permissive)
Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes 15 Apr 2021 hongsukchoi/3dcrowdnet_release/common/nets/layer.py 41843763717707cc ran MIT (permissive)
I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image 9 Aug 2020 mks0601/I2L-MeshNet_RELEASE/common/nets/layer.py 41843763717707cc ran MIT (permissive)
arXiv:Wang_3D_Human_Mesh_Recovery_with_Sequentially_Global_Rotation_Estimation_ICCV_2023_paper kennethwdk/SGRE/common/nets/layer.py 41843763717707cc ran 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