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model_fn

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

model_fn appears in the code Syntology harvested for 10 papers, as 11 distinct code bodies found in 11 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 model_fn 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 11 distinct code bodies named model_fn; 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
1ran
10unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 11 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; 11 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
Deep Equilibrium Diffusion Restoration with Parallel Sampling 20 Nov 2023 caojiezhang/deqir/utils/utils_model.py a794526b2a783dce ran no licence file found · pointer only
FragmentVC: Any-to-Any Voice Conversion by End-to-End Extracting and Fusing Fine-Grained Voice Fragments With Attention 27 Oct 2020 avanitanna/robustfragmentvc/train_cv_finetune.py 0bfcaaaf145d9bfa unverified MIT (permissive)
Class-Balanced Loss Based on Effective Number of Samples 16 Jan 2019 richardaecn/class-balanced-loss/tpu/models/experimental/cifar_keras/cifar_keras.py a8d0a5e19105636a unverified MIT (permissive)
Class-Balanced Loss Based on Effective Number of Samples 16 Jan 2019 richardaecn/class-balanced-loss/tpu/models/experimental/dcgan/dcgan_main.py 7634c2c31837e3f5 unverified MIT (permissive)
Probabilistic Verification of Fairness Properties via Concentration 2 Dec 2018 obastani/verifair/python/verifair/main/quickdraw.py a17c80159bb75915 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 aws-samples/amazon-sagemaker-bert-pytorch/code/deploy_ei.py eb140e13be89b1b9 unverified MIT-0 (permissive)
Image Super-Resolution Using Very Deep Residual Channel Attention Networks 8 Jul 2018 keerthan2/Residual-Channel-Attention-Network/code/model.py 345a6af0c359845e unverified no licence file found · pointer only
Non-Local Recurrent Network for Image Restoration 7 Jun 2018 Ding-Liu/NLRN/models/nlrn.py a67673ff07558f6c unverified MIT (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 Gideon0805/Tensorflow1.15-Model-Pruning/src/train_pruning_class.py 6ff0b95bc2b81704 unverified no licence file found · pointer only
Densely Connected Convolutional Networks 25 Aug 2016 lionelmessi6410/ntga/generate_attack.py 0594b4cfe3e12a8d unverified Apache-2.0 (permissive)
arXiv:Hu_VMNet_Voxel-Mesh_Network_for_Geodesic-Aware_3D_Semantic_Segmentation_ICCV_2021_paper hzykent/VMNet/network/VMNet.py 67ac541c6860f9c0 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