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get_lr_scheduler

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

get_lr_scheduler appears in the code Syntology harvested for 17 papers, as 13 distinct code bodies found in 17 places (a place is one code body under one paper). At least one of them ran in 11 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_lr_scheduler 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 8 of the 13 distinct code bodies named get_lr_scheduler; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
5ran · our draft was wrong
0ran · fixture could not drive it
3ran
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 17 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

17 papers shown of 17, newest first; 17 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
Efficient Prediction of Dense Visual Embeddings via Distillation and RGB-D Transformers added by Syntology 2026-01 (from id) TUI-NICR/DVEFormer/dveformer/lr_scheduler.py e60a52fe170f233d unverified Apache-2.0 (permissive)
arXiv:2507.09424 2025-07 (from id) DataAttributionEval/DATE-LM/train/finetune.py 92caa4cd63a752cc ran · our draft was wrong no licence file found · pointer only
DD-Ranking: Rethinking the Evaluation of Dataset Distillation 19 May 2025 identical code first harvested elsewhere 5a60461e9e2f12d7 ran · our draft was wrong licence of this copy not recorded
1.5-Pints Technical Report: Pretraining in Days, Not Months -- Your Language Model Thrives on Quality Data 7 Aug 2024 Pints-AI/1.5-Pints/finetune/full.py 92caa4cd63a752cc ran · our draft was wrong MIT (permissive)
Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis 8 Jun 2024 leaplabthu/improvednat/utils.py 20380250dc418d5c ran MIT (permissive)
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections 30 May 2024 mwbini/ether/ether-instruct/finetune/ether.py 1416cca657944035 ran · our draft was wrong MIT (permissive)
TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos 26 Mar 2024 yufu-wang/tram/lib/core/base_trainer.py 9b438214a4dff91b ran MIT (permissive)
Gradual Optimization Learning for Conformational Energy Minimization 5 Nov 2023 airi-institute/golf/GOLF/utils.py 7c532365402d1a64 ran MIT (permissive)
PanopticNDT: Efficient and Robust Panoptic Mapping 24 Sep 2023 tui-nicr/emsanet/emsanet/lr_scheduler.py e60a52fe170f233d unverified Apache-2.0 (permissive)
Prediction Error-based Classification for Class-Incremental Learning 30 May 2023 michalzajac-ml/pec/models/pec.py e7b24e736dee1ac3 ran · our draft was wrong MIT (permissive)
Spotting Temporally Precise, Fine-Grained Events in Video 20 Jul 2022 jhong93/spot/baseline.py 044bbdf5e0a24628 unverified BSD-3-Clause (permissive)
Federated Multi-Task Learning under a Mixture of Distributions 23 Aug 2021 omarfoq/FedEM/utils/optim.py 2581454f884675e8 unverified Apache-2.0 (permissive)
Causal Effect Inference for Structured Treatments 3 Jun 2021 jeankaddour/sin/models/sin.py 6d0f33c1da82bfd0 ran · our draft was wrong no licence file found · pointer only
YOLOv4: Optimal Speed and Accuracy of Object Detection 23 Apr 2020 bubbliiiing/yolov4-pytorch/nets/yolo_training.py 7d8483a5fc9806ce unverified MIT (permissive)
Cooperative Learning of Disjoint Syntax and Semantics 25 Feb 2019 facebookresearch/latent-treelstm/utils.py 6bfbb52eff0a6e4a unverified MIT recorded; this copy not marked cleared · pointer only
Dataset Distillation 27 Nov 2018 nus-hpc-ai-lab/dd-ranking/ddranking/utils/train_and_eval.py 5a60461e9e2f12d7 ran · our draft was wrong licence not identified · pointer only
arXiv:2025.acl-industry.15 Lightning-AI/litgpt/litgpt/finetune/adapter.py 92caa4cd63a752cc ran · our draft was wrong 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