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get_imagenet

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

get_imagenet appears in the code Syntology harvested for 13 papers, as 13 distinct code bodies found in 13 places (a place is one code body under one paper). At least one of them ran in 5 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 get_imagenet 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 5 of the 13 distinct code bodies named get_imagenet; 8 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
5ran
8unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 13 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

13 papers shown of 13, newest first; 13 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; 2 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
arXiv:2507.12998 2025-07 (from id) MediaBrain-SJTU/DISSect/src/data.py 1b68997299046240 unverified no licence file found · pointer only
Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization 27 Sep 2024 usamec/double_sparse/other_experiments/datautils.py 0723e2735373f4d8 ran Apache-2.0 (permissive)
Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding Alignment 3 Sep 2024 Visual-Computing/MCIP/MCIP/src/realignment/data.py 0aa04fa0c06a8973 ran Apache-2.0 (permissive)
Mitigate the Gap: Investigating Approaches for Improving Cross-Modal Alignment in CLIP 25 Jun 2024 sarahesl/alignclip/main/data.py 4c914b1a132fade6 ran no licence file found · pointer only
Efficient Vision-Language Pre-training by Cluster Masking 14 May 2024 zi-hao-wei/efficient-vision-language-pre-training-by-cluster-masking/training/data.py 4ab095823c6ec0d7 unverified no licence file found · pointer only
PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits 9 Apr 2024 maxdreyer/pure/datasets/imagenet.py dfa5a65342a498e4 unverified BSD-3-Clause (permissive)
What do we learn from inverting CLIP models? 5 Mar 2024 hamidkazemi22/clipinversion/helpers/utils.py b51f90896450a7bf ran no licence file found · pointer only
SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training? 2 Feb 2024 hammoudhasan/synthclip/Training/datasets.py 76b6f8ebe3d85394 ran no licence file found · pointer only
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations 6 Apr 2022 PolinaKirichenko/deep_feature_reweighting/imagenet_datasets.py 18de61dcc865b4d7 unverified BSD-2-Clause (permissive)
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients 16 Feb 2022 mil-ad/prospr/datasets.py 6bc530d5e9c4de0a unverified MIT (permissive)
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers 28 May 2021 VisionLearningGroup/OP_Match/dataset/cifar.py c134d9fe99c07f80 unverified MIT (permissive)
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability 11 Aug 2020 dylan-slack/modeling-uncertainty-local-explainability/bayes/data_routines.py 9b9aeb04bf81f6f6 unverified MIT (permissive)
arXiv:aaai_28324 Pter61/context-i2w/src/data.py 1b48169f44bfc0c2 unverified Apache-2.0 (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