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generator

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

generator appears in the code Syntology harvested for 11 papers, as 22 distinct code bodies found in 22 places (a place is one code body under one paper). At least one of them ran in 4 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 generator 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 7 of the 22 distinct code bodies named generator; 15 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
0ran · fixture could not drive it
5ran
15unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 14 of the 22 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

11 papers shown of 11, newest first; 22 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 2 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
M 3 -Gen: Interpretable Multimodal Generation of Gene Expression Profiles Using Clinical and Imaging Data added by Syntology 2026-07 (from id) CarloSgaravatti/M3-Gen/src/generative_model_conditional_attention.py 69eddae7ab74eaa9 ran · metamorphic tier: deterministic no licence file found · pointer only
TDEC: Deep Embedded Image Clustering with Transformer and Distribution Information added by Syntology 23 Mar 2026 XifengGuo/ASPC-DA/ASPC.py 783463d4dbb4faa6 ran · our draft was wrong no licence file found · pointer only
Language Imbalance Driven Rewarding for Multilingual Self-improving 11 Oct 2024 znlp/language-imbalance-driven-rewarding/utils/batch_inference.py c85bc1200cde30f4 ran · our draft was wrong no licence file found · pointer only
Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling 26 Jul 2023 cchen-cc/Robust-Mseg/modalitydrop_generator.py cc57c3ca7844ba89 unverified no licence file found · pointer only
PosterLayout: A New Benchmark and Approach for Content-aware Visual-Textual Presentation Layout 28 Mar 2023 PKU-ICST-MIPL/PosterLayout-CVPR2023/model.py 525dbd90055704c3 unverified no licence file found · pointer only
MetaSDF: Meta-learning Signed Distance Functions 17 Jun 2020 shaohua0116/MultiDigitMNIST/generator.py 99830e49bd1b9ef4 unverified MIT (permissive)
If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast With GAN 3 May 2020 flaviagiammarino/probcast-tensorflow/probcast_tensorflow/modules.py 0f72eec71273a71e unverified MIT (permissive)
Class-Balanced Loss Based on Effective Number of Samples 16 Jan 2019 richardaecn/class-balanced-loss/tpu/models/experimental/dcgan/cifar_model.py 6bfcb692805e9db9 unverified MIT (permissive)
Adversarially Learned Anomaly Detection 6 Dec 2018 houssamzenati/Adversarially-Learned-Anomaly-Detection/anogan/cifar10_utilities.py 0364d049bacaa4ba unverified MIT (permissive)
Adversarially Learned Anomaly Detection 6 Dec 2018 houssamzenati/Efficient-GAN-Anomaly-Detection/gan/mnist_utilities.py c8be7d36155861a7 unverified MIT (permissive)
Image De-raining Using a Conditional Generative Adversarial Network 21 Jan 2017 yoyotv/Image-derain-via-CGAN/code/functions.py af4c33ff5e7a1a6f unverified MIT (permissive)
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 prodillo/GAN_project/gan.py 05309d6debbe19a7 ran · metamorphic tier: deterministic no licence file found · pointer only
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 JPlin/MSGAN/DCGAN-Mode-Seeking/networks.py d6e891155a740e5f ran no licence file found · pointer only
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 znxlwm/pytorch-MNIST-CelebA-GAN-DCGAN/pytorch_CelebA_DCGAN.py eed138ab7d1a65fa ran · metamorphic tier: invariant no licence file found · pointer only
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 Zachdr1/GANs/DCGAN/MNIST/DCGAN_notebook.py 8a8e584a3a98176f ran no licence file found · pointer only
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 PDEUXA/AIF_CYCLEGAN/models/model_generator.py f983eb21eb29f9ec unverified MIT (permissive)
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 summerinternship2019/DCGAN_Improve/pokemon_v1.py 75a8410b16381e71 unverified no licence file found · pointer only
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 pskrunner14/face-DCGAN/model.py c63b478672fe2d67 unverified MIT (permissive)
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 XiafeiYu/DCGAN/model.py c85f89670d4a9b77 unverified no licence file found · pointer only
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 elybecker/dcgan/model.py 6c01acd4c1fd1634 unverified no licence file found · pointer only
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 vinayakkailas/DCGAN/model.py c19d89b65e114f5a unverified no licence file found · pointer only
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 SimRunBot/DCGAN/DCGAN.py 02923236f9b6c232 unverified no licence file found · pointer only

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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