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get_hparams

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

get_hparams appears in the code Syntology harvested for 9 papers, as 6 distinct code bodies found in 9 places (a place is one code body under one paper). At least one of them ran in 1 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 get_hparams 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 1 of the 6 distinct code bodies named get_hparams; 5 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
1ran
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 9 places is 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

9 papers shown of 9, newest first; 9 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. 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
Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion 5 Jun 2024 Costwen/Ouroboros3D/src/utils/config.py f5b98a41b3655fc4 ran Apache-2.0 (permissive)
A Closer Look at AUROC and AUPRC under Class Imbalance 11 Jan 2024 hzhang0/auc_bias/experiments.py 73d0cb5bbc5c4f0c unverified no licence file found · pointer only
"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts 19 Oct 2022 mlforhealth/expl_perf_drop/expl_perf_drop/experiments.py 73d0cb5bbc5c4f0c unverified MIT (permissive)
Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing 27 Aug 2021 MLforHealth/CausalDA/experiments.py 1333b4e802eba4f0 unverified MIT (permissive)
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations 27 Aug 2021 som-shahlab/subpopulation_robustness/group_robustness_fairness/mimic_eicu/experiments.py 1333b4e802eba4f0 unverified MIT (permissive)
A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering 30 Jun 2021 emprime/dc3/imagenet/training.py d418bfeffed76d00 unverified Apache-2.0 (permissive)
Blank Language Models 8 Feb 2020 Varal7/blank_language_model/utils.py 96be2538380bf7f7 unverified Apache-2.0 (permissive)
Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving 2 Feb 2020 Ekim-Yurtsever/Hybrid-DeepRL-Automated-Driving/hybrid-rl/sources/common.py 83a20a9bd5e1d806 unverified MIT (permissive)
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence 21 Jan 2020 johnchenresearch/SSL/imagenet/training.py d418bfeffed76d00 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