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get_model_file

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

get_model_file appears in the code Syntology harvested for 15 papers, as 15 distinct code bodies found in 18 places (a place is one code body under one paper). At least one of them ran in 3 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_model_file 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 15 distinct code bodies named get_model_file; 13 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
1ran
13unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 18 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

15 papers shown of 15, newest first; 18 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; 2 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
A Multimodal Dataset of Student Oral Presentations with Sensors and Evaluation Data added by Syntology 2026-01 (from id) deepinsight/insightface/python-package/insightface/model_zoo/model_store.py b0a56313fb31fb43 unverified no licence file found · pointer only
PaliGemma 2: A Family of Versatile VLMs for Transfer 4 Dec 2024 kyutai-labs/moshivis/kyuteye_mlx/kyuteye_mlx/local_web.py e65b1f630e98892d unverified Apache-2.0 (permissive)
Discounted Adaptive Online Learning: Towards Better Regularization 5 Feb 2024 ComputationalRobotics/discounted-adaptive/helper_functions.py b348b5428cbda366 ran no licence file found · pointer only
Improved Online Conformal Prediction via Strongly Adaptive Online Learning 15 Feb 2023 identical code first harvested elsewhere 993bbb4915776dc8 ran · our draft was wrong licence of this copy not recorded
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts 17 Aug 2022 salesforce/online_conformal/vision.py 993bbb4915776dc8 ran · our draft was wrong Apache-2.0 (permissive)
Killing Two Birds with One Stone:Efficient and Robust Training of Face Recognition CNNs by Partial FC 28 Mar 2022 yangyucheng000/-insightface/python-package/insightface/model_zoo/model_store.py 36d98138ea733ae9 unverified MIT (permissive)
ResNeSt: Split-Attention Networks 19 Apr 2020 zhanghang1989/ResNeSt/resnest/gluon/model_store.py 1ef6246b268a5705 unverified Apache-2.0 (permissive)
ResNeSt: Split-Attention Networks 19 Apr 2020 mohitktanwr/Deep-Stem-ResNeSt-ISPRS/resnest/gluon/model_store.py 2cd24f5ed4aae254 unverified Apache-2.0 (permissive)
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing 30 Mar 2020 Andrew-Qibin/SPNet/models/model_store.py c73140f517c549d4 unverified MIT (permissive)
PanNuke Dataset Extension, Insights and Baselines 24 Mar 2020 kaiseem/pointnu-net/models/model_store.py 4bf53b623193a6f7 unverified MIT (permissive)
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data 13 Mar 2020 BingLiHanShuang/AutoGluon_IntegrateSimpleFeedforward/autogluon/model_zoo/model_store.py 9eca9dfdf9ee9469 unverified Apache-2.0 (permissive)
Boundary-Aware Feature Propagation for Scene Segmentation 31 Aug 2019 henghuiding/BFP/utils/models/model_store.py b86399f2356a0176 unverified MIT (permissive)
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images 15 May 2019 chenwydj/ultra_high_resolution_segmentation/models/model_store.py 5aca26e2a8b0f1a0 unverified MIT (permissive)
RetinaFace: Single-stage Dense Face Localisation in the Wild 2 May 2019 nhatduy19599/insightface-master/python-package/insightface/model_zoo/model_store.py 36d98138ea733ae9 unverified MIT (permissive)
RetinaFace: Single-stage Dense Face Localisation in the Wild 2 May 2019 code-trip/insightface-mxnet/python-package/insightface/model_zoo/model_store.py 16443b6e8ae03637 unverified MIT (permissive)
RetinaFace: Single-stage Dense Face Localisation in the Wild 2 May 2019 vladimirwest/insightface_cinematic/python-package/insightface/model_zoo/model_store.py 9c1cf8cf41de5346 unverified MIT (permissive)
arXiv:Li_From_Contexts_to_Locality_Ultra-High_Resolution_Image_Segmentation_via_Locality-Aware_ICCV_2021_paper liqiokkk/FCtL/models/model_store.py 5aca26e2a8b0f1a0 unverified MIT (permissive)
arXiv:Guo_Knowledge_Distillation_for_6D_Pose_Estimation_by_Aligning_Distributions_of_CVPR_2023_paper GUOShuxuan/kd-6d-pose-adlp/backbone/model_store.py bdb727d7b734a9ea 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".

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