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augment

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

augment appears in the code Syntology harvested for 36 papers, as 31 distinct code bodies found in 38 places (a place is one code body under one paper). At least one of them ran in 10 of the papers; 4 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 augment 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 10 of the 31 distinct code bodies named augment; 21 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
2ran · fixture could not drive it
6ran
21unverified
4fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 38 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

36 papers shown of 36, newest first; 38 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
Adversarial Diffusion Compression for Real-World Image Super-Resolution 20 Nov 2024 guaishou74851/adcsr/bsr/transforms.py 7f124cd33fb750ee unverified Apache-2.0 (permissive)
Rolling Shutter Correction with Intermediate Distortion Flow Estimation 9 Apr 2024 ljzycmd/DFRSC/dataset/augment.py 3bf86c48a5c854ac unverified no licence file found · pointer only
uniGradICON: A Foundation Model for Medical Image Registration 9 Mar 2024 uncbiag/unigradicon/training/train_multi.py 5081acc295216727 unverified Apache-2.0 (permissive)
Depth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazing 2 Mar 2024 zhoushen1/dcmpnet/datasets/loader.py 69467681d00a88d8 ran MIT (permissive)
GLEN: Generative Retrieval via Lexical Index Learning 6 Nov 2023 skleee/GLEN/src/tevatron/datasets/glen_p1_dataset.py 10b3d1379c9c469a ran fingerprinted Apache-2.0 (permissive)
GLEN: Generative Retrieval via Lexical Index Learning 6 Nov 2023 skleee/GLEN/src/tevatron/datasets/glen_p2_dataset.py ebb2ee7e575e7730 ran fingerprinted Apache-2.0 (permissive)
Learning by Self-Explaining 15 Sep 2023 ml-research/learning-by-self-explaining/CNN-LSX/load_decoy_mnist.py 9f058b9acf0b2d1c ran MIT (permissive)
LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image Enhancement 27 Jul 2023 taowangzj/lldiffusion/datasets/lol.py 42590d9db3c69b79 ran fingerprinted no licence file found · pointer only
Hierarchical Integration Diffusion Model for Realistic Image Deblurring 22 May 2023 zhengchen1999/HI-Diff/hi_diff/utils/transforms.py 7f124cd33fb750ee unverified Apache-2.0 (permissive)
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations 2 Feb 2023 a514514772/fedlap-dp/utils/augmentation.py 4ac684d789a25255 unverified MIT (permissive)
Evaluating generative models in high energy physics 18 Nov 2022 rkansal47/MPGAN/mpgan/augment.py 967cac1f884cedc4 unverified MIT (permissive)
Private Set Generation with Discriminative Information 7 Nov 2022 DingfanChen/Private-Set/utils/augmentation.py 4ac684d789a25255 unverified MIT (permissive)
PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training 5 Nov 2022 ruc-datalab/PASTA/src/utils/entitylink.py 5ee220eb85b02681 unverified MIT (permissive)
LKD-Net: Large Kernel Convolution Network for Single Image Dehazing 5 Sep 2022 swu-cs-medialab/lkd-net/datasets/loader.py 69467681d00a88d8 ran MIT (permissive)
SNAKE: Shape-aware Neural 3D Keypoint Field 3 Jun 2022 zhongcl-thu/SNAKE/core/datasets/augmentation.py 60c37454e2a095ce unverified MIT (permissive)
Learning Adaptive Warping for Real-World Rolling Shutter Correction 29 Apr 2022 ljzycmd/BSRSC/dataset/augment.py 3bf86c48a5c854ac unverified MIT (permissive)
Vision Transformers for Single Image Dehazing 8 Apr 2022 IDKiro/DehazeFormer/datasets/loader.py 69467681d00a88d8 ran MIT (permissive)
Simple and Effective Synthesis of Indoor 3D Scenes 6 Apr 2022 google-research/se3ds/datasets/indoor_datasets.py fed098a9e812e3d1 unverified Apache-2.0 (permissive)
CAFE: Learning to Condense Dataset by Aligning Features 3 Mar 2022 kaiwang960112/cafe/distill.py 8335c250c64e41f3 ran · fixture could not drive it no licence file found · pointer only
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning 11 May 2021 AnnaManasyan/VICReg/utils.py 73fbb91c4b92324b unverified MIT (permissive)
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration 2 Apr 2021 theot1/dign/DiGN.py 269d965e70b2c96f ran · our draft was wrong fingerprinted MIT (permissive)
Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection 19 Sep 2020 tsingqguo/jadena/lib/augment.py b2919c027c31c86f unverified MIT (permissive)
Continual Adaptation for Deep Stereo 10 Jul 2020 CVLAB-Unibo/Real-time-self-adaptive-deep-stereo/Data_utils/preprocessing.py 27cc437d9adfb80e unverified Apache-2.0 (permissive)
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution 3 Jun 2020 Vishal-V/tf-models/onlyBN/resnet_cifar.py 454488534eefb92a unverified MIT (permissive)
NeurVPS: Neural Vanishing Point Scanning via Conic Convolution 14 Oct 2019 zhou13/neurvps/neurvps/datasets.py 99e4fb644d86653b unverified MIT (permissive)
Improving performance of deep learning models with axiomatic attribution priors and expected gradients 25 Jun 2019 suinleelab/attributionpriors/attributionpriors/mnist/mnist_reader.py 0c8712ec9b348cd4 unverified MIT (permissive)
MixMatch: A Holistic Approach to Semi-Supervised Learning 6 May 2019 ntozer/mixmatch-tensorflow2.0/mixmatch.py 647302bd0cbc0cd4 ran · fixture could not drive it MIT (permissive)
MixMatch: A Holistic Approach to Semi-Supervised Learning 6 May 2019 dhx000/DGM_project/mixmatch/cycle_mixmatch.py 39827536f2c0ed9a ran no licence file found · pointer only
Learning to Adapt for Stereo 5 Apr 2019 CVLAB-Unibo/Learning2AdaptForStereo/Data_utils/preprocessing.py 27cc437d9adfb80e unverified Apache-2.0 (permissive)
High Quality Monocular Depth Estimation via Transfer Learning 31 Dec 2018 lemon-liley/isabella/HorizonNet/inference.py 6c798decc8af5b44 unverified MIT (permissive)
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks 1 Oct 2018 juho-lee/set_transformer/data_modelnet40.py 5d719edec199c51d unverified MIT (permissive)
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training 17 May 2018 danbochman/GANomaly-TF2/dataloader/augmentations.py 99382519a0bea945 unverified MIT (permissive)
Harmonious Attention Network for Person Re-Identification 22 Feb 2018 milkplz/keras-frcnn/keras_frcnn/data_augment.py 73efd07b31c131cd unverified Apache-2.0 (permissive)
Improved Regularization of Convolutional Neural Networks with Cutout 15 Aug 2017 lnstadrum/fastaugment/tensorflow/fast_augment.py 57014965cf3804dc unverified MIT (permissive)
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations 10 Mar 2017 dtak/rrr/rrr/decoy_mnist.py 986bd42d6c370e36 unverified MIT (permissive)
End to End Learning for Self-Driving Cars 25 Apr 2016 Zhenye-Na/self-driving-vehicles-sim-with-ml/src/RcCarDataset.py 051b7206bccec72e unverified MIT (permissive)
Session-based Recommendations with Recurrent Neural Networks 21 Nov 2015 paxcema/KerasGRU4Rec/preprocess/extractDwellTime.py bbfdf27ff0771dd9 ran · our draft was wrong no licence file found · pointer only
arXiv:Chen_Adversarial_Diffusion_Compression_for_Real-World_Image_Super-Resolution_CVPR_2025_paper Guaishou74851/AdcSR/bsr/transforms.py 7f124cd33fb750ee 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