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get_preds

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

get_preds appears in the code Syntology harvested for 18 papers, as 18 distinct code bodies found in 19 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 get_preds 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 4 of the 18 distinct code bodies named get_preds; 14 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
2ran
14unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 19 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

18 papers shown of 18, newest first; 19 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; 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
Uni4D: Unifying Visual Foundation Models for 4D Modeling from a Single Video 27 Mar 2025 Davidyao99/uni4d/uni4d/eval_pose.py d8e70a5c3026ef98 unverified MIT (permissive)
Maia-2: A Unified Model for Human-AI Alignment in Chess 30 Sep 2024 CSSLab/maia2/maia2/inference.py 56ee634d6f4bdab3 unverified MIT (permissive)
Helpful assistant or fruitful facilitator? Investigating how personas affect language model behavior 2 Jul 2024 peluz/persona-behavior/compute_results.py a19fac296d166c3b ran MIT (permissive)
Helpful assistant or fruitful facilitator? Investigating how personas affect language model behavior 2 Jul 2024 peluz/persona-behavior/models/inference.py cd72dc4024974449 unverified MIT (permissive)
Reassessing How to Compare and Improve the Calibration of Machine Learning Models 6 Jun 2024 2014mchidamb/reassessing-calibration/src/sharpcal/prediction.py da491889d7ab0443 ran MIT (permissive)
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right? 16 May 2023 drimpossible/EvalOCL/src/blind.py 28f9ff16477b06a9 unverified GPL-3.0 (copyleft) · pointer only
Online Continual Learning Without the Storage Constraint 16 May 2023 drimpossible/acm/src/run_blind.py 87b6e899753a3578 unverified MIT (permissive)
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning 28 Sep 2022 2023-MindSpore-1/ms-code-106/utils.py c71d53694b423cf5 unverified Apache-2.0 (permissive)
SBERT studies Meaning Representations: Decomposing Sentence Embeddings into Explainable Semantic Features 14 Jun 2022 flipz357/S3BERT/src/prediction_helpers.py e1930a781ca4e475 unverified MIT (permissive)
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection 6 May 2022 esmab/necessity-sufficiency/perturbation_functions.py 2f6bbfafbef94618 ran · our draft was wrong no licence file found · pointer only
Data Augmentation for Electrocardiograms 9 Apr 2022 aniruddhraghu/ecg_aug/baseline.py 34615160a839a22d unverified Apache-2.0 (permissive)
Attention-Free Keyword Spotting 14 Oct 2021 AI-Research-BD/Keyword-MLP/inference.py 43893718a859b6fe unverified MIT (permissive)
Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual Qualities 14 Jun 2021 shreyanc/model_debugging/nb_helpers.py c21b2a6b3fd265a4 ran · our draft was wrong no licence file found · pointer only
Keyword Transformer: A Self-Attention Model for Keyword Spotting 1 Apr 2021 mashrurmorshed/torch-kwt/inference.py 43893718a859b6fe unverified MIT (permissive)
Learning from Synthetic Animals 17 Dec 2019 chaneyddtt/UDA-Animal-Pose/pose/utils/evaluation.py b095d4004cfba4fb unverified MIT (permissive)
Deep High-Resolution Representation Learning for Visual Recognition 20 Aug 2019 HRNet/HRNet-Facial-Landmark-Detection/lib/core/evaluation.py 8edd86bd9a43d59e unverified MIT recorded; this copy not marked cleared · pointer only
Simple Black-box Adversarial Attacks 17 May 2019 cg563/simple-blackbox-attack/utils.py f802a7445e7bd99a unverified MIT (permissive)
Adapted Deep Embeddings: A Synthesis of Methods for $k$-Shot Inductive Transfer Learning 22 May 2018 garyCC227/thesis/dense.py feb366896425e713 unverified MIT (permissive)
arXiv:136670327 stefanLeong/S2CRNet/utils/evaluation.py d9b53a2c9d1a3eb5 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