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get_images

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

get_images appears in the code Syntology harvested for 21 papers, as 18 distinct code bodies found in 21 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_images 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 18 distinct code bodies named get_images; 13 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
4ran
13unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 21 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

21 papers shown of 21, newest first; 21 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. 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
MechVQA: Benchmarking and Enhancing Multimodal LLMs on Comprehensive Mechanical Drawing Understanding added by Syntology 2026-05 (from id) xiaofengShi/MechVQA/evaluation/mechvqa_eval/evaluate_vqa.py f5bda340023ee7e1 ran Apache-2.0 (permissive)
ACE: Anti-Editing Concept Erasure in Text-to-Image Models 3 Jan 2025 120l020904/ace/src/generate_images_lora.py eeaba2dab7d792f1 ran · our draft was wrong no licence file found · pointer only
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation? 21 Oct 2024 he-y/soft-label-pruning-for-dataset-distillation/recover/data_synthesis_class.py 66e243b18e3b93cf unverified no licence file found · pointer only
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator 13 Aug 2024 zhangxin-xd/UFC/ufc_generation/ufc_cifar.py d050e4beff6c61bc unverified no licence file found · pointer only
What is Dataset Distillation Learning? 6 Jun 2024 princetonvisualai/What-is-Dataset-Distillation-Learning/data_utils.py b12b65b7d96e1063 ran no licence file found · pointer only
Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation 26 Sep 2023 cyber-meow/LyCORIS-evaluation/lycoris_eval/evaluation/eval_style_loss.py a2a97a32171f5fa4 ran MIT (permissive)
FABRIC: Personalizing Diffusion Models with Iterative Feedback 19 Jul 2023 sd-fabric/fabric/fabric/evaluation/utils.py c2a0d9d99789c623 ran MIT (permissive)
NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency 29 Jun 2023 kdst-team/naturalinversion/NaturalInversion.py 6d2aad101bf4246e unverified no licence file found · pointer only
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective 22 Jun 2023 VILA-Lab/SRe2L/SRe2L/recover/data_synthesis.py cd717b4f9a335f2d unverified no licence file found · pointer only
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control 3 Oct 2021 aangelopoulos/ltt/experiments/imagenet/grid_fig.py 91a92d35cc14ae7d unverified MIT (permissive)
Exploring the Similarity of Representations in Model-Agnostic Meta-Learning 12 May 2021 ThomasGoerttler/similarity-analysis-of-maml/utils.py 980919fe451414a1 unverified MIT (permissive)
Tracking Objects as Points 2 Apr 2020 hampen2929/CenterTrack/notebook/util.py e5ab43a0ed3a9d85 unverified MIT (permissive)
Real-time Scene Text Detection with Differentiable Binarization 20 Nov 2019 SURFZJY/Real-time-Text-Detection/genText.py b1827bd3314d5a57 unverified Apache-2.0 (permissive)
Dual Instrumental Variable Regression 27 Oct 2019 krikamol/DualIV-NeurIPS2020/DeepGMM/data_generator.py ad178cf84e825284 unverified MIT (permissive)
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation 25 Jul 2019 alililia/ascend_U-GAT-IT/src/metrics/metrics.py cbe8f1a4723b5a27 unverified Apache-2.0 (permissive)
Generating Diverse High-Fidelity Images with VQ-VAE-2 2 Jun 2019 eric-yim/image_reconstruction/test_results.py 6209bc911accf845 unverified no licence file found · pointer only
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression 16 Apr 2019 affromero/SMILE/metrics/fid_score.py 608139996fc77fef unverified MIT (permissive)
Meta-Learning Priors for Efficient Online Bayesian Regression 24 Jul 2018 StanfordASL/ALPaCA/maml/utils.py 980919fe451414a1 unverified MIT (permissive)
Bayesian Model-Agnostic Meta-Learning 11 Jun 2018 jaesik817/bmaml/utils.py 980919fe451414a1 unverified MIT (permissive)
Dynamic Routing Between Capsules 26 Oct 2017 Colonel-Hathi/CapsNet-Treemap-Perception-Trafficsign/data_handler.py ef6f7f989e63e349 unverified Apache-2.0 (permissive)
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 9 Mar 2017 cbfinn/maml/utils.py 980919fe451414a1 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".

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