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get_accuracy

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

get_accuracy appears in the code Syntology harvested for 52 papers, as 46 distinct code bodies found in 56 places (a place is one code body under one paper). At least one of them ran in 26 of the papers; 11 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_accuracy 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 26 of the 46 distinct code bodies named get_accuracy; 20 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

2ran · honoured contract
2ran · violated contract
6ran · our draft was wrong
5ran · fixture could not drive it
11ran
20unverified
11fingerprinted

Licence is a property of each copy, so it is counted per place: 25 of the 56 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

52 papers shown of 52, newest first; 56 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 2 papers added by Syntology; 3 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
Data-Free Contribution Estimation in Federated Learning using Gradient von Neumann Entropy added by Syntology 2026-04 (from id) asimukaye/spectralfuse/trainutils.py 2402e9b3ec5e41df unverified Apache-2.0 (permissive)
Polymer-Agent: Large Language Model Agent for Polymer Design added by Syntology 2026-01 (from id) TheJacksonLab/OpenMacromolecularGenome/molecule_chef/module/utils.py 5b10a683231ece11 unverified GPL-3.0 (copyleft) · pointer only
arXiv:2507.12075 2025-07 (from id) booknlp/booknlp/booknlp/common/sequence_eval.py 6db9b749b1cf20d3 unverified MIT (permissive)
arXiv:2507.11688 2025-07 (from id) vsingh-group/ComposingLinearLayers/evaluate.py ad7f827da570381f unverified no licence file found · pointer only
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory 16 Dec 2024 andrea-perin/gpsymm/fig1_data.py 6a332e60f9de2df6 unverified no licence file found · pointer only
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity 7 Nov 2024 AMLab-Amsterdam/DIVA/paper_experiments/rotated_mnist/supervised/experiment_only_sup_diva.py 836e4fec26e79ed7 unverified MIT (permissive)
How to Evaluate Reward Models for RLHF 18 Oct 2024 lmarena/ppe/utils/scorers.py d59fa2d0990791a0 ran no licence file found · pointer only
Erasing Conceptual Knowledge from Language Models 3 Oct 2024 rohitgandikota/erasing-llm/utils/metrics.py c1aaeda27d027041 unverified no licence file found · pointer only
Interpretable Concept-Based Memory Reasoning 22 Jul 2024 daviddebot/CMR/experiments/cebab/models.py b45172fecb8d6720 ran Apache-2.0 (permissive)
Interpretable Concept-Based Memory Reasoning 22 Jul 2024 daviddebot/CMR/experiments/cub/models.py 17adc58c54e10b59 ran Apache-2.0 (permissive)
Interpretable Concept-Based Memory Reasoning 22 Jul 2024 daviddebot/CMR/experiments/mnist/models_copy.py 328e02ae2ef2610b ran Apache-2.0 (permissive)
Monocular Occupancy Prediction for Scalable Indoor Scenes 16 Jul 2024 hongxiaoy/ISO/iso/loss/sscMetrics.py 40d8d0dfd5686afe unverified Apache-2.0 (permissive)
Commute-Time-Optimised Graphs for GNNs 9 Jul 2024 igorsterner/commute-opt-gnn/src/train_arxiv_gin.py ea038ba8ef273fee ran · fixture could not drive it no licence file found · pointer only
ZeroPur: Succinct Training-Free Adversarial Purification 5 Jun 2024 erhul/ZeroPur/utils.py fa9947c95b2f3518 unverified no licence file found · pointer only
Differentiable Annealed Importance Sampling Minimizes The Symmetrized Kullback-Leibler Divergence Between Initial and Target Distribution 23 May 2024 jzenn/dais0/train_logistic_regression.py 4368a9d6070d9b1a ran · fixture could not drive it MIT (permissive)
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report 29 Apr 2024 predibase/lora_bakeoff/utils/metric_fns.py e99446edd24636a6 ran fingerprinted no licence file found · pointer only
Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution 3 Apr 2024 uwFengyuan/OCC-CLIP/utils.py 5af17a7a31474613 ran fingerprinted MIT (permissive)
Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer 12 Mar 2024 dipeshtamboli/posnegdm-reinforced-sequential-decision-making-for-sepsis-treatment/utils.py ffe73c36fbe2646f ran fingerprinted MIT (permissive)
RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation 24 Feb 2024 SeRAlab/Robust-and-Accurate-UV-map-based-Camouflage-Attack/src/Image_Segmentation/evaluation.py 95bb69a36b70e931 ran · our draft was wrong fingerprinted no licence file found · pointer only
Measuring Sharpness in Grokking 14 Feb 2024 jackmiller2003/tiny-gen/src/common.py 4ddde33fb0d7122b ran no licence file found · pointer only
Benchmarking LLMs via Uncertainty Quantification 23 Jan 2024 smartyfh/llm-uncertainty-bench/uncertainty_quantification_via_cp.py 7027200b9089953e ran · our draft was wrong MIT (permissive)
MUVO: A Multimodal World Model with Spatial Representations for Autonomous Driving 20 Nov 2023 fzi-forschungszentrum-informatik/muvo/muvo/metrics.py 019b2c84dd83f0bd unverified no licence file found · pointer only
Tailoring Self-Rationalizers with Multi-Reward Distillation 6 Nov 2023 ink-usc/rationalemultirewarddistillation/mario/eval_n.py 6b1269ddfa3e825b ran no licence file found · pointer only
Tailoring Self-Rationalizers with Multi-Reward Distillation 6 Nov 2023 ink-usc/rationalemultirewarddistillation/mario/eval_other_rationales.py 016f3dd6b689a3e6 ran fingerprinted no licence file found · pointer only
The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models 23 Oct 2023 shin-ee-chen/BLA/evaluation_models/clip/utils.py 574b247caf8962a7 ran fingerprinted MIT (permissive)
TEQ: Trainable Equivalent Transformation for Quantization of LLMs 17 Oct 2023 intel/neural-compressor/examples/pytorch/nlp/huggingface_models/language-modeling/quantization/auto_round/llama3/quantize.py 7f7d585fdda8fcee unverified Apache-2.0 (permissive)
NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space 26 Sep 2023 Jiawei-Yao0812/NDCScene/ndcscene/loss/sscMetrics.py 40d8d0dfd5686afe unverified no licence file found · pointer only
OVO: Open-Vocabulary Occupancy 25 May 2023 dzcgaara/OVO/ovo/loss/sscMetrics.py 40d8d0dfd5686afe unverified Apache-2.0 (permissive)
DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction 21 Apr 2023 mohammadrezapourreza/few-shot-nl2sql-with-prompting/AnalysisResults.py 66f0572c036abde3 unverified MIT (permissive)
Meta-Learning with a Geometry-Adaptive Preconditioner 4 Apr 2023 Suhyun777/CVPR23-GAP/utils.py dad49dad06992a06 unverified MIT (permissive)
OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion 27 Feb 2023 megvii-research/occdepth/occdepth/loss/sscMetrics.py 40d8d0dfd5686afe unverified Apache-2.0 (permissive)
Learning Performance-Improving Code Edits 15 Feb 2023 madaan/pie-perf/src/codenet_eval/run_eval.py 1f09a6f0ad0d135a unverified no licence file found · pointer only
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale 18 Dec 2022 amazon-science/llm-interpret/scripts/plotting/fc_importance.py 4097a7bd8f7a0c6b ran · honoured contract Apache-2.0 (permissive)
CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network 24 Oct 2022 fenghetan9/cmu-net/src/metrics.py 95bb69a36b70e931 ran · our draft was wrong fingerprinted MIT (permissive)
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach 23 Oct 2022 heshandevaka/Trade-Off-MOL/Toy-MNIST/toy_loss.py 35f6ead8f9037bad unverified MIT (permissive)
SC-Explorer: Incremental 3D Scene Completion for Safe and Efficient Exploration Mapping and Planning 17 Aug 2022 ethz-asl/ssc_exploration/ssc_network/utils/ssc_metrics.py 40d8d0dfd5686afe unverified BSD-3-Clause (permissive)
Repository-Level Prompt Generation for Large Language Models of Code 26 Jun 2022 shrivastavadisha/repo_level_prompt_generation/rule_classifier_preprocessed_data.py 177a8218c0d26146 ran · our draft was wrong fingerprinted MIT (permissive)
MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning 1 Mar 2022 sparkjiao/merit/models/roberta_sent_att_sup.py 15b69fa520a0583e ran · our draft was wrong Apache-2.0 (permissive)
MonoScene: Monocular 3D Semantic Scene Completion 1 Dec 2021 astra-vision/monoscene/monoscene/loss/sscMetrics.py 40d8d0dfd5686afe unverified Apache-2.0 (permissive)
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness 29 Sep 2021 joey-wang123/imbalancemeta/utils.py 3368a0b09ca316c2 unverified MIT (permissive)
Learning to Combine Per-Example Solutions for Neural Program Synthesis 14 Jun 2021 shrivastavadisha/n-peps/scripts/train_aggregator.py 50a69db7a1caf80f ran · our draft was wrong fingerprinted licence not identified · pointer only
Principal Bit Analysis: Autoencoding with Schur-Concave Loss 5 Jun 2021 SourbhBh/PBA/train_nn.py 9de15047a2bb67f0 unverified no licence file found · pointer only
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP 28 Feb 2021 timoschick/self-debiasing/self_diagnosis.py 8afdbc78a7c0edb2 ran · fixture could not drive it fingerprinted Apache-2.0 (permissive)
Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics 2020-08 (from id) logpai/loghub-2.0/benchmark/LogPPT/logppt/evaluation/evaluator.py 04e9124a19f95d56 ran · our draft was wrong licence not identified · pointer only
Longformer: The Long-Document Transformer 10 Apr 2020 jaketae/pytorch-malware-detection/src/deep_malware_detection/utils.py e910798b9dfc1967 unverified MIT (permissive)
Fast Predictive Uncertainty for Classification with Bayesian Deep Networks 2 Mar 2020 mariushobbhahn/LB_for_BNNs_official/utils/LB_utils.py c4d57576c429b674 ran · fixture could not drive it no licence file found · pointer only
Truth or Backpropaganda? An Empirical Investigation of Deep Learning Theory 1 Oct 2019 goldblum/TruthOrBackpropaganda/NTK_and_local_optima/dl_myths/routines/training.py 99b9941a10b98ac9 ran · honoured contract MIT (permissive)
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation 14 Jun 2019 vita-epfl/monstereo/monstereo/train/trainer.py 1ef541745795a586 ran · violated contract fingerprinted licence not identified · pointer only
DIVA: Domain Invariant Variational Autoencoders 24 May 2019 identical code first harvested elsewhere 836e4fec26e79ed7 unverified licence of this copy not recorded
Attention U-Net: Learning Where to Look for the Pancreas 11 Apr 2018 wjcheon/MedicalImageSegmentation_Pytorch/evaluation.py 95bb69a36b70e931 ran · our draft was wrong fingerprinted no licence file found · pointer only
Attention U-Net: Learning Where to Look for the Pancreas 11 Apr 2018 Spider-scnu/Instance-Segmentation-For-Cancer/code/evaluation.py 1eceaf04d569126f unverified BSD-2-Clause (permissive)
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation 20 Feb 2018 identical code first harvested elsewhere 95bb69a36b70e931 ran · our draft was wrong fingerprinted licence of this copy not recorded
Malware Detection by Eating a Whole EXE 25 Oct 2017 jaketae/deep-malware-detection/src/deep_malware_detection/utils.py e910798b9dfc1967 unverified MIT (permissive)
Communication-Efficient Learning of Deep Networks from Decentralized Data 17 Feb 2016 vaseline555/superfed/src/algorithm.py a8ce655aa6965797 ran · fixture could not drive it no licence file found · pointer only
Variable Rate Image Compression with Recurrent Neural Networks 19 Nov 2015 eyalfish/artoveq/ResidualVQVAE.py 8e31b020598d799c ran · violated contract fingerprinted no licence file found · pointer only
arXiv:aaai_16110 IIT-ML/AAAI21-relational-cell-classification/CRC/pytorch_func.py 64431a056459e4fc 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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