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get_data_loaders

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

get_data_loaders appears in the code Syntology harvested for 22 papers, as 24 distinct code bodies found in 25 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 get_data_loaders 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 24 distinct code bodies named get_data_loaders; 23 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
23unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 25 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

22 papers shown of 22, newest first; 25 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 5 papers added by Syntology. 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
DP-IVON-Gradsq: Differentially Private Squared-Gradient Improved Variational Online Newton added by Syntology 2026-07 (from id) NourJamoussi/DP-IVON-Gradsq/utils/data.py c9ab185ad5f93ae1 ran no licence file found · pointer only
Let's Ask Gauss: Improved One-Run Privacy Auditing added by Syntology 2026-06 (from id) stoneboat/dpsgd-auditbench/src/dataset.py 6b7236e752a60f7d unverified no licence file found · pointer only
K-Way Energy Probes for Metacognition Reduce to Softmax in Discriminative Predictive Coding Networks added by Syntology 2026-04 (from id) synthiumjp/ima/src/cifar10_data.py ec53570b5ce2c74b unverified no licence file found · pointer only
Balancing Fidelity, Utility, and Privacy in Synthetic Cardiac MRI Generation: A Comparative Study added by Syntology 2026-03 (from id) vlbthambawita/SynCMRI/diffusion_DDPM/data_loader.py eb9d293dd6e86049 unverified no licence file found · pointer only
Information Hidden in Gradients of Regression with Target Noise added by Syntology 2026-01 (from id) edahelsinki/noisy_targets/notes/utils.py 350dd8e43f88e64b unverified MIT (permissive)
DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators 9 Dec 2024 Nokia-Bell-Labs/data-channel-extension/run_nas_network_search.py 0b1206ef7396e7eb unverified licence not identified · pointer only
LancBiO: dynamic Lanczos-aided bilevel optimization via Krylov subspace 4 Apr 2024 UCAS-YanYang/LancBiO/Code/LancBiO_hyperclean_Fashion/utils/dataset.py c890685368211e89 unverified no licence file found · pointer only
Mitigating Open-Vocabulary Caption Hallucinations 6 Dec 2023 assafbk/mocha_code/vlm_rlhf.py 24f6f2d5b6395922 unverified no licence file found · pointer only
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics 23 May 2023 kminartz/EPNS/datasets/Cell_Combined_Dataset.py 87bab19f49c868f7 unverified MIT (permissive)
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics 23 May 2023 kminartz/EPNS/datasets/N_Body_Dataset.py a77c39a49bdc63f5 unverified MIT (permissive)
Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets 6 Jan 2022 danielmamay/grokking/grokking/data.py ab942b3fd9d96975 unverified MIT (permissive)
Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images 6 Sep 2021 vinairesearch/lemul/dataloaders.py cc0a1e9daff55e54 unverified BSD-3-Clause (permissive)
De-rendering the World's Revolutionary Artefacts 8 Apr 2021 elliottwu/sorderender/derender/dataloaders.py afcb544a47dec12a unverified MIT (permissive)
Bilevel Optimization: Convergence Analysis and Enhanced Design 15 Oct 2020 junjieyang97/stocbio_hp/Hyperparameter-optimization/experimental/mnist_exp.py 3851e32f29e94b92 unverified MIT (permissive)
Anomalous diffusion dynamics of learning in deep neural networks 22 Sep 2020 ifgovh/Anomalous-diffusion-dynamics-of-SGD/train_DNN_code/dataloader.py 191831befedc50f5 unverified MIT (permissive)
Learning Gradient Fields for Shape Generation 14 Aug 2020 RuojinCai/ShapeGF/datasets/pointflow_datasets.py 8c812eb8082d2cdc unverified MIT (permissive)
On Learning Sets of Symmetric Elements 20 Feb 2020 NVlabs/On-Learning-Sets-of-Symmetric-Elements/synthetic_exp/dataset.py 76aaf9d1578e0d4c unverified MIT (permissive)
Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised Learning 6 Dec 2019 DPautoGAN/DPautoGAN/mimic/sampling.py d18aa2d6a3614265 unverified MIT (permissive)
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild 25 Nov 2019 elliottwu/unsup3d/unsup3d/dataloaders.py e49ea94e0987a6e8 unverified MIT (permissive)
Once-for-All: Train One Network and Specialize it for Efficient Deployment 26 Aug 2019 analogdevicesinc/ai8x-training/run_nas_network_search.py 0b1206ef7396e7eb unverified Apache-2.0 (permissive)
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows 28 Jun 2019 stevenygd/PointFlow/datasets.py 92805c7faaa80e02 unverified MIT (permissive)
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows 28 Jun 2019 gmum/LoCondA/datasets/pointflow.py 423797b5261350e2 unverified MIT (permissive)
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows 28 Jun 2019 rg321/pointFlow_exp/datasets.py 00c2d6048b70226a unverified MIT (permissive)
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking 12 Jun 2018 hyang1990/model_based_energy_constrained_compression/utils.py 274396f6683440b3 unverified MIT (permissive)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation 2 Nov 2015 zhuotongchen/self-healing-robust-neural-networks-via-closed-loop-control/control_functions.py 5ff542951a6359ce 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".

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