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get_mean_std

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

get_mean_std appears in the code Syntology harvested for 17 papers, as 17 distinct code bodies found in 18 places (a place is one code body under one paper). At least one of them ran in 5 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 get_mean_std 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 17 distinct code bodies named get_mean_std; 12 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

2ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
1ran · fixture could not drive it
0ran
12unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 18 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

17 papers shown of 17, newest first; 18 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
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation 29 Nov 2024 vila-lab/delt/recover/recover.py ca0116cbf72e048c unverified no licence file found · pointer only
Understanding Catastrophic Forgetting in Language Models via Implicit Inference 18 Sep 2023 kothasuhas/understanding-forgetting/icl_vs_if/latex_tables.py bd78cc974c9ed25e unverified no licence file found · pointer only
Interactive and Explainable Region-guided Radiology Report Generation 17 Apr 2023 ttanida/rgrg/src/dataset/compute_mean_std_dataset.py fa575de86a2b3603 unverified MIT (permissive)
MMANet: Margin-aware Distillation and Modality-aware Regularization for Incomplete Multimodal Learning 17 Apr 2023 shicaiwei123/mmanet/classification/lib/processing_utils.py 25d573d05669c93c unverified MIT (permissive)
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions 24 Mar 2023 aagarwal1996/synth_combo/simulations/experimental_sims.py 5a24f6a46f7bda20 ran · our draft was wrong no licence file found · pointer only
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions 24 Mar 2023 aagarwal1996/synth_combo/simulations/observational_sims.py 24a54fddf1e7a1af ran · our draft was wrong no licence file found · pointer only
CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Masking 2023-03 (from id) wenet-e2e/wespeaker/wespeaker/bin/score_norm.py 6f3455917ae57cd8 unverified Apache-2.0 (permissive)
Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification 6 Feb 2022 pbevan1/detecting-melanoma-fairly/preprocessing.py ba8470699bf72aa4 ran · honoured contract no licence file found · pointer only
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification 20 Sep 2021 pbevan1/Skin-Deep-Unlearning/preprocessing.py ba8470699bf72aa4 ran · honoured contract MIT (permissive)
Context-Aware Mixup for Domain Adaptive Semantic Segmentation 8 Aug 2021 qianyuzqy/CAMix/camix_transforms.py 018647a91dc50805 ran · honoured contract Apache-2.0 (permissive)
OnlineAugment: Online Data Augmentation with Less Domain Knowledge 17 Jul 2020 zhiqiangdon/online-augment/models/normalize_mean_std.py f963a0c21d33cafa unverified Apache-2.0 (permissive)
Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs? 10 Apr 2020 kenshohara/3D-ResNets-PyTorch/mean.py d35f7d3b70ef9b70 unverified MIT (permissive)
Self-training with Noisy Student improves ImageNet classification 11 Nov 2019 google-research/noisystudent/task_info.py ab69b327577ef8d4 unverified Apache-2.0 (permissive)
Semi-supervised semantic segmentation needs strong, varied perturbations 5 Jun 2019 Britefury/cutmix-semisup-seg/datapipe/seg_transforms.py 07cb1ccb51e03d35 unverified MIT (permissive)
Dynamic Routing Between Capsules 26 Oct 2017 ameliajimenez/capsule-networks-medical-data-challenges/stain_normalization/stainNorm_Reinhard.py 3619549fb958505d unverified MIT (permissive)
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC) 13 Oct 2017 Abdulrahman-Adel/Skin-Cancer-Detection/get_mean_std.py ff96f889bfd9f7e1 unverified MIT (permissive)
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization 20 Mar 2017 abhishtagatya/paintgan/algorithm/ada_in_comp/model.py fc194f2d050dbd6d ran · fixture could not drive it fingerprinted no licence file found · pointer only
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient 18 Sep 2016 project-basileus/multitype-sequence-generation-by-tlstm-gan/sgtlstm/SeqGan.py 468186920a536265 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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