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get_data_loader

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

get_data_loader appears in the code Syntology harvested for 44 papers, as 40 distinct code bodies found in 46 places (a place is one code body under one paper). At least one of them ran in 8 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_loader 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 7 of the 40 distinct code bodies named get_data_loader; 33 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
5ran
33unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 46 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

44 papers shown of 44, newest first; 46 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; 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
FedBCGD: Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning added by Syntology 5 Mar 2026 junkangLiu0/FedBCGD/FedBCGD.py f6feefbc37e07e56 unverified no licence file found · pointer only
Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings 28 Oct 2024 miladkhademinori/class-incremental-learning/preprocess_core50.py 8fcb2c95a6a3d03e unverified MIT (permissive)
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification 7 Oct 2024 jimmyxu123/SELECT/vtab/getDataLoader.py e0126d3f3d3d4c42 unverified MIT (permissive)
Learning Spatial-Semantic Features for Robust Video Object Segmentation 10 Jul 2024 yahooo-m/S3/gui/reader.py bce4b0ddddfc1f91 ran GPL-3.0 (copyleft) · pointer only
Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records 6 Mar 2024 SH-Src/AutoDP/utils/ehr_dataset.py c75d22abbf2ad955 unverified no licence file found · pointer only
High-fidelity Person-centric Subject-to-Image Synthesis 17 Nov 2023 codegoat24/face-diffuser/facediffuser/data.py ba203f24d15e031a ran MIT (permissive)
Flow-based Distributionally Robust Optimization 30 Oct 2023 hamrel-cxu/flowdro/eval_mnist_models_torch.py 3620e0f0fc09ab12 unverified MIT (permissive)
MINDE: Mutual Information Neural Diffusion Estimation 13 Oct 2023 MustaphaBounoua/minde/src/baseline/eval_doe.py b467609613cd30c7 ran no licence file found · pointer only
Towards Mitigating Architecture Overfitting on Distilled Datasets 8 Sep 2023 cityu-mlo/mitigate_architecture_overfitting/utils.py 284f61197f58c52b unverified no licence file found · pointer only
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins 17 Aug 2023 tsosea2/MarginMatch/models/marginmatch/marginmatch.py 4d1e29ceead9441e ran MIT (permissive)
A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing 11 May 2023 umass-ml4ed/neurips-challenge-22/predict_graph.py 3ba8d87c56a080d5 ran · our draft was wrong no licence file found · pointer only
FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention 17 May 2023 mit-han-lab/fastcomposer/fastcomposer/data.py c39580137a368949 unverified MIT (permissive)
Class-Conditioned Transformation for Enhanced Robust Image Classification 27 Mar 2023 tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification/data_utils.py af354de631970edf unverified MIT (permissive)
Multimodal Industrial Anomaly Detection via Hybrid Fusion 1 Mar 2023 nomewang/M3DM/dataset.py 4d4e430ec99ab841 unverified MIT (permissive)
Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual Queries 2 Feb 2023 patrickrchao/diffusionbasedcausalmodels/all_exp.py 44bde545b1a472e4 unverified MIT (permissive)
Certified Training: Small Boxes are All You Need 10 Oct 2022 eth-sri/sabr/src/datasets.py 998ab044ce94c5ec unverified MIT (permissive)
Domain-invariant Feature Exploration for Domain Generalization 25 Jul 2022 jindongwang/transferlearning/code/DeepDA/data_loader.py 587f232d5836a1ba unverified MIT (permissive)
Adaptive Self-supervision Algorithms for Physics-informed Neural Networks 8 Jul 2022 shashanksubramanian/adaptive-selfsupervision-pinns/utils/data_utils.py f0c9ddfca5da08e9 unverified MIT (permissive)
Consistent Representation Learning for Continual Relation Extraction 5 Mar 2022 thuiar/CRL/methods/manager.py 137f6961fd6db94d ran · our draft was wrong no licence file found · pointer only
Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation 4 Mar 2022 qcwthu/Continual_Fewshot_Relation_Learning/dataprocess.py 5edf8da61fe5e77f unverified MIT (permissive)
OmniPrint: A Configurable Printed Character Synthesizer 17 Jan 2022 SunHaozhe/transferlearning/code/DeepDA/data_loader.py 95c4b2cf2eaa5127 unverified MIT (permissive)
CMT: Convolutional Neural Networks Meet Vision Transformers 13 Jul 2021 yuranusduke/CMT-Convolutional-NN-Meets-ViT/utils.py 7c651ebc57e4167c unverified MIT (permissive)
Revisiting Deep Learning Models for Tabular Data 22 Jun 2021 XavierSpycy/tabtransformers/tabtransformers/tools.py d29f63635e0b6468 unverified MIT (permissive)
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs 25 May 2021 mmalekzadeh/honest-but-curious-nets/hbcnets/trainers.py c7a39c876507ab4b unverified MIT (permissive)
CrysXPP:An Explainable Property Predictor for Crystalline Materials 2021-04 (from id) iitkgpaiforscience/crysxpp/src/data.py 3564cd5a3000945a unverified MIT (permissive)
Class-Incremental Learning with Generative Classifiers 20 Apr 2021 GMvandeVen/class-incremental-learning/preprocess_core50.py 8fcb2c95a6a3d03e unverified MIT (permissive)
How to train your neural ODE: the world of Jacobian and kinetic regularization 7 Feb 2020 D-hash-code/ffjord-rnode-finalweek-mnist/lib/utils2.py 58bb14039809fdf3 unverified MIT (permissive)
REMIND Your Neural Network to Prevent Catastrophic Forgetting 6 Oct 2019 tyler-hayes/REMIND/image_classification_experiments/imagenet_experiment.py f0a5673d31a458ed unverified MIT (permissive)
Splitting Steepest Descent for Growing Neural Architectures 6 Oct 2019 klightz/splitting/mbv1/dataloader.py b26c260574e4c497 unverified MIT (permissive)
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation 20 May 2019 brunnurs/valuenet/src/data_loader.py 055bcd6f75fdf154 unverified Apache-2.0 (permissive)
One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization 10 Apr 2019 jjery2243542/adaptive_voice_conversion/data_utils.py a45438efc97d07d0 unverified Apache-2.0 (permissive)
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks 14 Mar 2019 akanimax/BMSG-GAN/sourcecode/data_processing/DataLoader.py 4c285e4ad37fd444 unverified MIT (permissive)
A Style-Based Generator Architecture for Generative Adversarial Networks 12 Dec 2018 huangzh13/StyleGAN.pytorch/models/GAN.py 9b396b8f1c550dcb ran licence not identified · pointer only
Disentangling Propagation and Generation for Video Prediction 2 Dec 2018 NagabhushanSN95/DPG-Video-Prediction/src/data_loaders/DataLoaderFactory.py 58fc604171d0699b unverified MIT (permissive)
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow 1 Oct 2018 akanimax/Variational_Discriminator_Bottleneck/source/data_processing/DataLoader.py 4c285e4ad37fd444 unverified MIT (permissive)
Self-Attention Generative Adversarial Networks 21 May 2018 akanimax/attn_gan_pytorch/samples/data_processing/DataLoader.py 4c285e4ad37fd444 unverified MIT (permissive)
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks 19 Oct 2017 akanimax/T2F/implementation/data_processing/DataLoader.py 4c285e4ad37fd444 unverified MIT (permissive)
Progressive Growing of GANs for Improved Quality, Stability, and Variation 27 Oct 2017 akanimax/pro_gan_pytorch/pro_gan_pytorch/data_tools.py 70683be51b50ba38 unverified MIT (permissive)
Progressive Growing of GANs for Improved Quality, Stability, and Variation 27 Oct 2017 alexeyhorkin/ProGAN-PyTorch/pro_gan_pytorch/DataTools.py 155ad5e4ce841a11 unverified MIT (permissive)
Is the deconvolution layer the same as a convolutional layer? 22 Sep 2016 anujdutt9/ESPCN/dataloader.py 0fad04de16b2a694 unverified MIT (permissive)
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 akanimax/dcgan_pytorch/data_processing/DataLoader.py 4c285e4ad37fd444 unverified MIT (permissive)
Spatial Transformer Networks 5 Jun 2015 dabane-ghassan/int-lab-book/src/what_where/display.py 5852a12af5d2eee4 unverified MIT (permissive)
arXiv:Wang_High-fidelity_Person-centric_Subject-to-Image_Synthesis_CVPR_2024_paper CodeGoat24/Face-diffuser/facediffuser/data.py ba203f24d15e031a ran MIT (permissive)
arXiv:2022.findings-emnlp.497 lancopku/Avg-Avg/lib/data_loader.py acb9e81d5ccbc520 unverified MIT (permissive)
arXiv:2021.acl-long.9 GaryYufei/ACL2021MF/dataset/coco_dataset.py a2179d0702146eb9 unverified Apache-2.0 (permissive)
arXiv:2021.acl-long.9 GaryYufei/ACL2021MF/dataset/dataset.py 5f476ebe08b91ff3 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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