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gram_matrix

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

gram_matrix appears in the code Syntology harvested for 45 papers, as 29 distinct code bodies found in 58 places (a place is one code body under one paper). At least one of them ran in 26 of the papers; 9 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 gram_matrix 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 29 distinct code bodies named gram_matrix; 19 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
6ran · our draft was wrong
1ran · fixture could not drive it
3ran
19unverified
9fingerprinted

Licence is a property of each copy, so it is counted per place: 15 of the 58 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

45 papers shown of 45, newest first; 58 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; 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
Parameter-efficient fine-tuning of foundation models for liver tumor segmentation in CT added by Syntology 2026-09 (from id) Ramtin-Mojtahedi/PEFT-SAM-Liver-CT/precpt.py 615b6e1dbca7e8b6 unverified no licence file found · pointer only
Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation 21 Oct 2024 tuananhbui89/Erasing-Adversarial-Preservation/eval-scripts/styleloss.py 1090950b58e9358b ran · our draft was wrong fingerprinted no licence file found · pointer only
Credal Two-Sample Tests of Epistemic Uncertainty 16 Oct 2024 chau999/credaltwosampletests/src/testing_algorithms/kernels.py 2207e210bb87bb78 ran MIT (permissive)
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors 14 Oct 2024 lintotao/out-of-bbox-attack/adversarialYolo/NeuralStyleAlgorithm_api.py 1090950b58e9358b ran · our draft was wrong fingerprinted no licence file found · pointer only
Explicitly Guided Information Interaction Network for Cross-modal Point Cloud Completion 3 Jul 2024 WHU-USI3DV/EGIInet/models/encoders.py d3b107d9e1262fd7 unverified MIT (permissive)
CrossFuse: A Novel Cross Attention Mechanism based Infrared and Visible Image Fusion Approach 15 Jun 2024 hli1221/crossfuse/network/loss.py 987d5f08d6f53a2e ran fingerprinted no licence file found · pointer only
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models 24 May 2024 OPTML-Group/AdvUnlearn/eval-scripts/styleloss.py 1090950b58e9358b ran · our draft was wrong fingerprinted CC-BY-4.0 · pointer only
Learning A Physical-aware Diffusion Model Based on Transformer for Underwater Image Enhancement 3 Mar 2024 chenydong/pa-diff/model/ddpm_trans_modules/style_transfer.py 91325ea11845812d ran fingerprinted Apache-2.0 (permissive)
UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models 19 Feb 2024 rohitgandikota/unified-concept-editing/evalscripts/styleloss.py 1090950b58e9358b ran · our draft was wrong fingerprinted MIT (permissive)
SU-SAM: A Simple Unified Framework for Adapting Segment Anything Model in Underperformed Scenes 31 Jan 2024 zongzi13545329/simada/precpt.py 1090950b58e9358b ran · our draft was wrong fingerprinted MIT (permissive)
Advances in 3D Neural Stylization: A Survey 30 Nov 2023 identical code first harvested elsewhere 1090950b58e9358b ran · our draft was wrong fingerprinted licence of this copy not recorded
Source-free Domain Adaptive Human Pose Estimation 6 Aug 2023 davidpengucf/SFDAHPE/lib/models/Style_net.py 430c582cd8bbb1df ran · our draft was wrong fingerprinted no licence file found · pointer only
Conditional Generation of Audio from Video via Foley Analogies 17 Apr 2023 XYPB/CondFoleyGen/audio_generation.py 1090950b58e9358b ran · our draft was wrong fingerprinted MIT (permissive)
CAS4DL: Christoffel Adaptive Sampling for function approximation via Deep Learning 25 Aug 2022 jmcardenas/cas4dl/src/PDE_data.py ba00c4026dfde8aa unverified MIT (permissive)
ARF: Artistic Radiance Fields 13 Jun 2022 Kai-46/ARF-svox2/opt/nnfm_loss.py fbfbcd074cd29d3a ran · fixture could not drive it fingerprinted BSD-2-Clause (permissive)
Learning to generate line drawings that convey geometry and semantics 23 Mar 2022 carolineec/informative-drawings/utils_pl.py 430c582cd8bbb1df ran · our draft was wrong fingerprinted MIT (permissive)
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation 22 Oct 2021 onion-liu/BlendGAN/model_encoder.py 430c582cd8bbb1df ran · our draft was wrong fingerprinted MIT (permissive)
Inpainting hydrodynamical maps with deep learning 2021-09 (from id) fgmohammad/inpainting/loss.py 1715f300a6a58899 unverified MIT (permissive)
DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer 17 Aug 2021 sonnguyen129/deep-feature-rotation/dfr/model.py 24caeadc560dd7b1 unverified MIT (permissive)
Stroke-Based Scene Text Erasing Using Synthetic Data for Training 23 Apr 2021 tzm-tora/Stroke-Based-Scene-Text-Erasing/src/loss.py 1715f300a6a58899 unverified MIT (permissive)
Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability 19 Oct 2020 zphang/saliency_investigation/casme/ext/pytorch_inpainting_with_partial_conv.py 1715f300a6a58899 unverified BSD-3-Clause (permissive)
Face Sketch Synthesis with Style Transfer using Pyramid Column Feature 18 Sep 2020 chaofengc/Face-Sketch/utils/loss.py b746320437ac4e84 unverified MIT (permissive)
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework 25 Aug 2020 TAMU-VITA/GAN-Slimming/utils/perceptual.py 430c582cd8bbb1df ran · our draft was wrong fingerprinted MIT (permissive)
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks 15 Jun 2020 vita-group/gan-slimming/utils/perceptual.py 430c582cd8bbb1df ran · our draft was wrong fingerprinted MIT (permissive)
Self-Supervised Scene De-occlusion 6 Apr 2020 ducminhkhoi/Amodal-Instance-Seg-ASBU/models/losses.py 1715f300a6a58899 unverified Apache-2.0 (permissive)
Collaborative Distillation for Ultra-Resolution Universal Style Transfer 18 Mar 2020 mingsun-tse/collaborative-distillation/model/model_cd.py b8ed90af599ee615 unverified MIT (permissive)
SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving 7 Mar 2020 identical code first harvested elsewhere 1090950b58e9358b ran · our draft was wrong fingerprinted licence of this copy not recorded
Region-wise Generative Adversarial ImageInpainting for Large Missing Areas 27 Sep 2019 vickyFox/Region-wise-Inpainting/vgg/vgg16.py 3c5fa1af75451d9b unverified MIT (permissive)
Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Raining 12 Jun 2019 rajeevyasarla/UMRL--using-Cycle-Spinning/myutils/utils.py 430c582cd8bbb1df ran · our draft was wrong fingerprinted MIT (permissive)
Large-scale weakly-supervised pre-training for video action recognition 2 May 2019 microsoft/computervision-recipes/contrib/document_cleanup/light_weight_document_cleanup_ICDAR2021/loss_function.py 24caeadc560dd7b1 unverified MIT (permissive)
Style Transfer by Relaxed Optimal Transport and Self-Similarity 29 Apr 2019 winfried-loetzsch/wise/helpers/losses.py a59f6e63a2e37d46 unverified Apache-2.0 (permissive)
Neural Painters: A learned differentiable constraint for generating brushstroke paintings 17 Apr 2019 shauray8/Neural-Painter/stylized_NP/utils.py 1090950b58e9358b ran · our draft was wrong fingerprinted MIT (permissive)
Image Super-Resolution by Neural Texture Transfer 3 Mar 2019 S-aiueo32/srntt-pytorch/losses/texture_loss.py 5c89da48bb9a642f unverified Apache-2.0 (permissive)
Image Inpainting for Irregular Holes Using Partial Convolutions 20 Apr 2018 identical code first harvested elsewhere 1090950b58e9358b ran · our draft was wrong fingerprinted licence of this copy not recorded
Image Inpainting for Irregular Holes Using Partial Convolutions 20 Apr 2018 naoto0804/pytorch-inpainting-with-partial-conv/loss.py 1715f300a6a58899 unverified MIT (permissive)
Deep Painterly Harmonization 2018-04 (from id) Oldpan/Deep-Painterly-Harmonization-Pytorch/model.py 1090950b58e9358b ran · our draft was wrong fingerprinted no licence file found · pointer only
Deep Painterly Harmonization 2018-04 (from id) HenryJia/pytorch-deep-painterly-harmonization/models.py 3d9fe186af01b2eb ran · our draft was wrong fingerprinted no licence file found · pointer only
Deep Back-Projection Networks For Super-Resolution 7 Mar 2018 alterzero/DBPN-Pytorch/utils.py 4be7bb2418de3fb9 unverified MIT (permissive)
Deep Photo Style Transfer 22 Mar 2017 ritesh2212/DeepPhotoStyle_pytorch-master/neural_style.py cda180904c38bf82 ran · our draft was wrong fingerprinted no licence file found · pointer only
Deep Photo Style Transfer 22 Mar 2017 7-B/yoco/segmentation/torch_neural_style_transfer.py 1090950b58e9358b ran · our draft was wrong fingerprinted MIT (permissive)
Multi-style Generative Network for Real-time Transfer 20 Mar 2017 zhanghang1989/PyTorch-Multi-Style-Transfer/experiments/utils.py 430c582cd8bbb1df ran · our draft was wrong fingerprinted MIT (permissive)
Multi-style Generative Network for Real-time Transfer 20 Mar 2017 sonnguyentruong129/msgnet-tf/src/model.py 47971a1f1e6da2cb unverified Apache-2.0 (permissive)
Multi-style Generative Network for Real-time Transfer 20 Mar 2017 sonnguyentruong129/msgnet-tf/src/utils.py 61276bec12947112 unverified Apache-2.0 (permissive)
Image-to-Image Translation with Conditional Adversarial Networks 21 Nov 2016 Vious/LBAM_Pytorch/loss/InpaintingLoss.py 1715f300a6a58899 unverified MIT (permissive)
Instance Normalization: The Missing Ingredient for Fast Stylization 27 Jul 2016 brightyoun/Video-Style-Transfer/utils.py 430c582cd8bbb1df ran · our draft was wrong fingerprinted MIT (permissive)
Incorporating long-range consistency in CNN-based texture generation 3 Jun 2016 ty625911724/texture_generation_master/utils.py 710a0565b70f6acf unverified MIT (permissive)
Perceptual Losses for Real-Time Style Transfer and Super-Resolution 27 Mar 2016 abhiskk/fast-neural-style/neural_style/utils.py 430c582cd8bbb1df ran · our draft was wrong fingerprinted MIT (permissive)
Perceptual Losses for Real-Time Style Transfer and Super-Resolution 27 Mar 2016 MartinBuessemeyer/Artistic-Texture-Control/helpers/losses.py a59f6e63a2e37d46 unverified MIT (permissive)
Perceptual Losses for Real-Time Style Transfer and Super-Resolution 27 Mar 2016 AloneGu/keras_tf_neural_img/loss.py 3029f01644d4fa28 unverified MIT (permissive)
Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis 18 Jan 2016 awentzonline/image-analogies/image_analogy/losses/neural_style.py ae51fe953e9fee1f unverified MIT (permissive)
A Neural Algorithm of Artistic Style 26 Aug 2015 algonomicon/a-neural-algorithm-of-artistic-style/src/model.py 1090950b58e9358b ran · our draft was wrong fingerprinted MIT (permissive)
A Neural Algorithm of Artistic Style 26 Aug 2015 safwankdb/Neural-Style-Transfer/styletransfer.py 937f431a534924fe ran · our draft was wrong fingerprinted no licence file found · pointer only
A Neural Algorithm of Artistic Style 26 Aug 2015 pierpaolosepe/Neural-Style-Transfer/StyleTransfer.py 7998acea93b36090 ran · our draft was wrong fingerprinted no licence file found · pointer only
A Neural Algorithm of Artistic Style 26 Aug 2015 jtiger958/style-transfer-pytorch/utils/utils.py 430c582cd8bbb1df ran · our draft was wrong fingerprinted MIT (permissive)
A Neural Algorithm of Artistic Style 26 Aug 2015 karuj/StyleTransfer/StyleTransfer.py 47b259a940d0fb95 unverified no licence file found · pointer only
A Neural Algorithm of Artistic Style 26 Aug 2015 Shilpil/style-transfer/loss.py 35b4718b0d1a15e0 unverified MIT (permissive)
A Neural Algorithm of Artistic Style 26 Aug 2015 mauriciomani/NST_instagram/neural_style_transfer.py d52a32dc6bd4f8a5 unverified MIT (permissive)
arXiv:136670327 stefanLeong/S2CRNet/utils/losses.py 1715f300a6a58899 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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