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discriminator

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

discriminator appears in the code Syntology harvested for 10 papers, as 12 distinct code bodies found in 12 places (a place is one code body under one paper). At least one of them ran in 2 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 discriminator 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 2 of the 12 distinct code bodies named discriminator; 10 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
2ran
10unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 12 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

10 papers shown of 10, newest first; 12 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
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 4c610625f283f91a ran · metamorphic tier: deterministic no licence file found · pointer only
If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast With GAN 3 May 2020 flaviagiammarino/probcast-tensorflow/probcast_tensorflow/modules.py cada6b62c8dd6707 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 59ec4e09ac2ce079 unverified MIT (permissive)
Adversarially Learned Anomaly Detection 6 Dec 2018 houssamzenati/Adversarially-Learned-Anomaly-Detection/anogan/cifar10_utilities.py 290d624498e73e32 unverified MIT (permissive)
Adversarially Learned Anomaly Detection 6 Dec 2018 houssamzenati/Efficient-GAN-Anomaly-Detection/gan/mnist_utilities.py df492502964e9039 unverified MIT (permissive)
Adversarially Learned Anomaly Detection 6 Dec 2018 houssamzenati/Efficient-GAN-Anomaly-Detection/bigan/mnist_utilities.py 245a2a952f2d0e8d unverified MIT (permissive)
Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders 13 Jun 2018 aubreychen9012/cAAE/model.py a13980ce366435d0 unverified MIT (permissive)
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing 5 Mar 2018 chenhsuanlin/spatial-transformer-GAN/glasses/graph.py 3c02b07781bd054e unverified MIT (permissive)
Improved Training of Wasserstein GANs 31 Mar 2017 snow-mn/GAN-INT-CLS/models/wgan.py be8c52d2d8f0b336 ran · metamorphic tier: deterministic GPL-3.0 (copyleft) · pointer only
Adversarial Discriminative Domain Adaptation 17 Feb 2017 caoquanjie/ADDA-master/adda.py 566bf3a9068aa745 unverified no licence file found · pointer only
Image De-raining Using a Conditional Generative Adversarial Network 21 Jan 2017 yoyotv/Image-derain-via-CGAN/code/functions.py ce641f1ccafcf795 unverified MIT (permissive)
arXiv:Ji_Calibrated_RGB-D_Salient_Object_Detection_CVPR_2021_paper jiwei0921/DCF/DCF_code/model/depth_calibration_models.py 5d4996948560dead 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