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get_learning_rate

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

get_learning_rate appears in the code Syntology harvested for 19 papers, as 15 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; 1 of the code bodies carries 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_learning_rate 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 15 distinct code bodies named get_learning_rate; 12 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

3ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
12unverified
1fingerprinted

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

19 papers shown of 19, 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; 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
ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation 22 Jun 2025 identical code first harvested elsewhere a2b90a10db4d4bd5 ran · honoured contract fingerprinted licence of this copy not recorded
HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale 27 Jun 2024 freedomintelligence/huatuogpt-vision/train_vl.py a2b90a10db4d4bd5 ran · honoured contract fingerprinted no licence file found · pointer only
Misspecified Phase Retrieval with Generative Priors 11 Oct 2022 jiulongliu/MPRG/src/mnist_estimators.py 79ae089a52fcffd1 ran · honoured contract no licence file found · pointer only
Complex-Valued Autoencoders for Object Discovery 5 Apr 2022 loewex/complexautoencoder/codebase/utils/utils.py 606b9262e3472679 unverified MIT (permissive)
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning 4 Jun 2021 oatml-markslab/proteinnpt/proteinnpt/utils/model_utils.py 7dabe8f85e5f4e16 unverified MIT (permissive)
Delving Deep into Label Smoothing 25 Nov 2020 zhangchbin/OnlineLabelSmoothing/cifar/scripts/train_cifar_all_methods.py e96e8e4fb8100d26 ran · honoured contract MIT (permissive)
A Disentangling Invertible Interpretation Network for Explaining Latent Representations 27 Apr 2020 CompVis/iin/iin/iterators/base.py a6900d411978f53b unverified MIT (permissive)
Editable Neural Networks 1 Apr 2020 xtinkt/editable/lib/utils/learning_rate.py ea79a3921665cbad unverified MIT (permissive)
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features 15 Mar 2020 aosokin/os2d/os2d/engine/optimization.py 3113a246d0a2ab8e unverified MIT (permissive)
Dual Encoding for Zero-Example Video Retrieval 17 Sep 2018 danieljf24/dual_encoding/trainer.py 39751868d8fb921d unverified Apache-2.0 (permissive)
Spreading vectors for similarity search 8 Jun 2018 lsyhprum/brewess/lib/nn_utils.py ea79a3921665cbad unverified MIT (permissive)
Deep Image Matting 10 Mar 2017 foamliu/deep-image-matting-pytorch/utils.py f12870d2ed1448f7 unverified MIT (permissive)
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving 22 Dec 2016 MarvinTeichmann/KittiBox/optimizer/generic_optimizer.py c1079c98e7fd20cf unverified MIT (permissive)
Harmonic Networks: Deep Translation and Rotation Equivariance 14 Dec 2016 deworrall92/harmonicConvolutions/MNIST-rot/run_mnist.py b8e8d8cb56bc2548 unverified MIT (permissive)
Perceptual Losses for Real-Time Style Transfer and Super-Resolution 27 Mar 2016 ZyoungXu/MoSt-DSA/Train_Test_Pipe.py b9306d4374e9d337 unverified Apache-2.0 (permissive)
Listen, Attend and Spell 5 Aug 2015 foamliu/Listen-Attend-Spell/utils.py 591851e781d27201 unverified MIT (permissive)
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition 21 Jul 2015 foamliu/CRNN/utils.py f12870d2ed1448f7 unverified MIT (permissive)
arXiv:136960251 silenceFS/LINAS/trainer.py 39751868d8fb921d unverified Apache-2.0 (permissive)
arXiv:136620053 Tianxinhuang/PCDNet/encoders_decoders.py 8f9aeaa8521653d6 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