Home › Code › create_classifier

create_classifier

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

create_classifier appears in the code Syntology harvested for 10 papers, as 7 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 6 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 create_classifier 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 7 distinct code bodies named create_classifier; 4 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
0ran · fixture could not drive it
2ran
4unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 10 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; 10 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. 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
Latent Neural Ordinary Differential Equations for Model-Informed Precision Dosing: Overcoming Structural Assumptions in Pharmacokinetics added by Syntology 2026-02 (from id) BenJMaurel/PharmaNODE/code/lib/latent_ode.py fc9a64735be0911c ran · our draft was wrong no licence file found · pointer only
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks 29 Feb 2024 bmucsanyi/bud/bud/layers/classifier.py 21e3373d80025972 unverified Apache-2.0 (permissive)
Efficient adjustment for complex covariates: Gaining efficiency with DOPE 20 Feb 2024 alexanderchristgau/outcomeadaptedadjustment/estimators.py 9ffb5736a7b8605a ran no licence file found · pointer only
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning 6 Feb 2024 pprp/timm/timm/layers/classifier.py f3958c754a8750d7 unverified Apache-2.0 (permissive)
FoMo-Bench: a multi-modal, multi-scale and multi-task Forest Monitoring Benchmark for remote sensing foundation models 15 Dec 2023 rolnicklab/fomo-bench/utilities/model_utilities.py ed7f2450e81dbcf8 ran MIT (permissive)
Neural Laplace Control for Continuous-time Delayed Systems 24 Feb 2023 vanderschaarlab/neurallaplacecontrol/baseline_models/latent_ode_lib/base_models.py fc9a64735be0911c ran · our draft was wrong MIT (permissive)
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain 10 Jun 2022 samholt/neurallaplace/experiments/baseline_models/ode_models.py fc9a64735be0911c ran · our draft was wrong MIT (permissive)
A Principle of Least Action for the Training of Neural Networks 17 Sep 2020 skander-karkar/LAP/utils.py b3f58f8ed60a82d6 unverified no licence file found · pointer only
Latent ODEs for Irregularly-Sampled Time Series 8 Jul 2019 gkrudah/ODEnet/lib/base_models.py fc9a64735be0911c ran · our draft was wrong MIT (permissive)
AutoAugment: Learning Augmentation Policies from Data 24 May 2018 TillBeemelmanns/auto-augment-tf2-operations/utils/classification_example.py 250ec7daec9a09f3 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