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AlexNet

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

AlexNet appears in the code Syntology harvested for 8 papers, as 9 distinct code bodies found in 9 places (a place is one code body under one paper). At least one of them ran in 6 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 AlexNet 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 6 of the 9 distinct code bodies named AlexNet; 3 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
6ran
3unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 9 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

8 papers shown of 8, newest first; 9 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
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks 3 Oct 2024 bigml-cs-ucla/mkdt/distill.py 67d3c99025558a9c ran no licence file found · pointer only
SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching 28 May 2024 Yongalls/SelMatch/distill.py 26023475e9668a76 ran · metamorphic tier: deterministic no licence file found · pointer only
DataDAM: Efficient Dataset Distillation with Attention Matching 29 Sep 2023 datadistillation/datadam/main_DataDAM.py 3a77313e815f4446 ran · metamorphic tier: deterministic no licence file found · pointer only
CAFE: Learning to Condense Dataset by Aligning Features 3 Mar 2022 kaiwang960112/cafe/distill.py 931c859769faecd5 ran no licence file found · pointer only
Predicting Pedestrian Crossing Intention with Feature Fusion and Spatio-Temporal Attention 12 Apr 2021 OSU-Haolin/Pedestrian_Crossing_Intention_Prediction/base_models.py bfd1c2e7a1031af7 unverified MIT (permissive)
Unsupervised Representation Learning by Predicting Image Rotations 21 Mar 2018 zzz1515151/self-supervised_learning_sketch/AlexNet.py da529ec59bbf59b8 ran · metamorphic tier: invariant fingerprinted MIT (permissive)
EMNIST: an extension of MNIST to handwritten letters 17 Feb 2017 Lornatang/TensorFlow-MNIST/v0_2/models.py 083164bfbeb0d9ca unverified Apache-2.0 (permissive)
EMNIST: an extension of MNIST to handwritten letters 17 Feb 2017 Lornatang/TensorFlow-MNIST/v0_1/models/alexnet.py 5aca9cbf66d5ea31 unverified Apache-2.0 (permissive)
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles 30 Mar 2016 Confusezius/selfsupervised_learning/JigsawNet/baseline_conv.py c8988caab7b2ad80 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