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augmentation

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

augmentation appears in the code Syntology harvested for 17 papers, as 13 distinct code bodies found in 17 places (a place is one code body under one paper). At least one of them ran in 3 of the papers; 2 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 augmentation 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 3 of the 13 distinct code bodies named augmentation; 10 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
1ran · fixture could not drive it
1ran
10unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 17 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; 17 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
SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels 8 Feb 2024 c-juhwan/softeda/task/classification/augmentation.py e0b8483581ba66c3 unverified no licence file found · pointer only
All in How You Ask for It: Simple Black-Box Method for Jailbreak Attacks 18 Jan 2024 kztakemoto/simbaja/utils.py d57c22aa4ee67ca7 ran no licence file found · pointer only
Mixture-of-Linear-Experts for Long-term Time Series Forecasting 11 Dec 2023 rogerni/mole/utils/augmentations.py 5c037d281a902e51 unverified no licence file found · pointer only
PIVOINE: Instruction Tuning for Open-world Information Extraction 24 May 2023 lukeming-tsinghua/instruction-tuning-for-open-world-ie/processed_pretrained_data/augment_utils.py 38cb4bd179a0bf91 unverified MIT (permissive)
Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction 3 Mar 2022 marrlab/shapr_torch/shapr/data_generator.py 8e50af8dd2a65977 unverified BSD-3-Clause (permissive)
Representation Topology Divergence: A Method for Comparing Neural Network Representations 31 Dec 2021 ilyatrofimov/sftd/SHAPR_torch+SFTD/shapr/data_generator.py 8e50af8dd2a65977 unverified Apache-2.0 (permissive)
Feature Quantization Improves GAN Training 5 Apr 2020 taki0112/UGATIT/utils.py 76abd03df3e34279 unverified MIT (permissive)
Meta-Transfer Learning for Zero-Shot Super-Resolution 27 Feb 2020 JWSoh/MainSR/generate_TFRecord_MZSR.py 7b6ea0444086d8ee ran · fixture could not drive it fingerprinted no licence file found · pointer only
StarGAN v2: Diverse Image Synthesis for Multiple Domains 4 Dec 2019 taki0112/StarGAN_v2-Tensorflow/utils.py d04b4ce2d0d02c25 unverified MIT (permissive)
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation 25 Jul 2019 WuZhewei/my_First_GAN_tryout/utils.py 76abd03df3e34279 unverified MIT (permissive)
DRIT++: Diverse Image-to-Image Translation via Disentangled Representations 2 May 2019 taki0112/DRIT-Tensorflow/utils.py f3a8860c6a9939e1 unverified MIT (permissive)
Image-to-Image Translation via Group-wise Deep Whitening-and-Coloring Transformation 24 Dec 2018 taki0112/GDWCT-Tensorflow/utils.py 6653be7e9952f17e unverified MIT (permissive)
Multimodal Unsupervised Image-to-Image Translation 12 Apr 2018 taki0112/MUNIT-Tensorflow/utils.py 6653be7e9952f17e unverified MIT (permissive)
Dynamic Routing Between Capsules 26 Oct 2017 gram-ai/capsule-networks/capsule_network.py 916d6f93349e426b ran · our draft was wrong fingerprinted no licence file found · pointer only
Unsupervised Image-to-Image Translation Networks 2 Mar 2017 taki0112/UNIT-Tensorflow/DatasetAPI/utils.py 76abd03df3e34279 unverified MIT (permissive)
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition 21 Jul 2015 mrzaizai2k/Information-recognition-on-the-university-test-paper/source/imgtocsv.py 873e142b9e566547 unverified MIT (permissive)
arXiv:Herbreteau_Self-Calibrated_Variance-Stabilizing_Transformations_for_Real-World_Image_Denoising_ICCV_2025_paper sherbret/Noise2VST/src/noise2vst/models/noise2vst.py d221f9e99ecc3d43 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".

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