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normalize_data

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

normalize_data appears in the code Syntology harvested for 32 papers, as 27 distinct code bodies found in 32 places (a place is one code body under one paper). At least one of them ran in 20 of the papers; 12 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 normalize_data 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 15 of the 27 distinct code bodies named normalize_data; 12 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

4ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
3ran · fixture could not drive it
7ran
12unverified
12fingerprinted

Licence is a property of each copy, so it is counted per place: 11 of the 32 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

32 papers shown of 32, newest first; 32 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 4 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
The Regularization Parameter: Sparse Precision Matrix Estimation added by Syntology 2026-07 (from id) aefty/aquic/_util.py b00bd69541196375 ran fingerprinted no licence file found · pointer only
SurvivalPFN: Amortizing Survival Prediction via In-Context Bayesian Inference added by Syntology 2026-05 (from id) rgklab/SurvivalPFN/survivalpfn/models/icl_model.py cbf1a6ddc69b5d1b ran · fixture could not drive it fingerprinted Apache-2.0 (permissive)
Causal Foundation Models with Continuous Treatments added by Syntology 2026-05 (from id) layer6ai-labs/CCPFN-inference/src/ccpfn/models/continuous_icl_model.py bfe4bda00433fd59 ran · fixture could not drive it fingerprinted Apache-2.0 (permissive)
Detecting Semantic Backdoors in a Mystery Shopping Scenario added by Syntology 2026-01 (from id) szegedai/SemanticBackdoorDetection/visualize_layer.py a753873103fc3d1a unverified no licence file found · pointer only
GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation 14 Oct 2024 salesforceairesearch/gift-eval/src/gift_eval/analysis/utils.py 700ebf316498a2e8 ran Apache-2.0 (permissive)
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics 25 Sep 2024 IML-DKFZ/latec/src/main/main_rank.py 61272ae2b64a89b2 ran · honoured contract fingerprinted Apache-2.0 (permissive)
Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell 20 Jun 2024 TaiMingLu/know-dont-tell/code/probe/probe.py 0d3e0263ee22bb14 ran · honoured contract fingerprinted no licence file found · pointer only
Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing 5 Jan 2024 Levishery/Flywire-Neuron-Tracing/Pointnet/provider.py 59e9008f0a3743f1 ran fingerprinted no licence file found · pointer only
Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction 21 Nov 2023 bigscity/steve_code/STEVE/lib/dataloader.py d2bc1793bf4954c7 ran MIT (permissive)
3DCoMPaT$^{++}$: An improved Large-scale 3D Vision Dataset for Compositional Recognition 27 Oct 2023 cattalyya/3dcompat-challenge/models/3D/provider.py 4c642057e222b0f1 ran fingerprinted BSD-3-Clause (permissive)
Fast Graph Condensation with Structure-based Neural Tangent Kernel 17 Oct 2023 wanglin0126/gcsntk/GCSNTK/LoadData.py 011117f9260effb7 ran fingerprinted no licence file found · pointer only
Class-level Structural Relation Modelling and Smoothing for Visual Representation Learning 8 Aug 2023 czt117/csrms/utils.py f8d2d7cbe9b95c1c unverified no licence file found · pointer only
HOPE: High-order Polynomial Expansion of Black-box Neural Networks 17 Jul 2023 harrypotterxtx/hope/utils/Samplers.py 42bca2074e6a5608 ran no licence file found · pointer only
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis 16 Jun 2023 mitchellostrow/dsa/DSA/preprocessing.py f56b12d183adacab unverified MIT (permissive)
Towards Constituting Mathematical Structures for Learning to Optimize 29 May 2023 xhchrn/MS4L2O/optimizees/logistic_real_data.py fc1dc877fddc1718 unverified MIT (permissive)
Nearest-Neighbor Sampling Based Conditional Independence Testing 9 Apr 2023 yanfeng-yang-0316/cdcit/nnlscit.py c6a3311cea14cc5a ran · honoured contract fingerprinted no licence file found · pointer only
Open-Vocabulary Affordance Detection in 3D Point Clouds 4 Mar 2023 Fsoft-AIC/Open-Vocabulary-Affordance-Detection-in-3D-Point-Clouds/utils/provider.py 59e9008f0a3743f1 ran fingerprinted MIT (permissive)
Deep Learning the Functional Renormalization Group 2022-02 (from id) bitmapdds/neuralfrg/neuralfrg/utils.py 67829ad8abe2f8db unverified Apache-2.0 (permissive)
3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient 10 Jan 2022 ibm/multimodal-3d-image-segmentation/experiments/utils.py 75b9413017c2330b unverified Apache-2.0 (permissive)
Deep Radio Interferometric Imaging with POLISH: DSA-2000 and weak lensing 2021-11 (from id) liamconnor/polish-pub/make_img_pairs.py 0e3399db2f57ef71 ran · fixture could not drive it fingerprinted no licence file found · pointer only
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans 17 Sep 2021 m3dv/ribseg/data_utils/data_aug.py 59e9008f0a3743f1 ran fingerprinted Apache-2.0 (permissive)
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding 30 Mar 2021 Gorilla-Lab-SCUT/AffordanceNet/utils/provider.py 59e9008f0a3743f1 ran fingerprinted MIT (permissive)
Data-driven subgrid-scale modeling of forced Burgers turbulence using deep learning with generalization to higher Reynolds numbers via transfer learning 2020-12 (from id) envfluids/Burgers_DDP_and_TL/ddp_train_and_test.py a20b19608381fbe3 ran · our draft was wrong fingerprinted no licence file found · pointer only
Multivariate Time-series Anomaly Detection via Graph Attention Network 4 Sep 2020 ML4ITS/mtad-gat-pytorch/utils.py 9725dabb7ae0f789 unverified MIT (permissive)
PointConv: Deep Convolutional Networks on 3D Point Clouds 17 Nov 2018 DylanWusee/pointconv_pytorch/provider.py 59e9008f0a3743f1 ran fingerprinted MIT (permissive)
Human Motion Analysis with Deep Metric Learning 30 Jul 2018 dhesenkamp/attentive-lstm/preprocessing.py f05297cf22e98849 unverified MIT (permissive)
Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization 28 May 2018 giparisi/GDM/gtls.py 0aa9023de3483559 ran · honoured contract fingerprinted no licence file found · pointer only
Learning Descriptor Networks for 3D Shape Synthesis and Analysis 2 Apr 2018 jianwen-xie/3DDescriptorNet/util/data_io.py 2846143ec7d8a4bb unverified MIT (permissive)
Sequence-to-point learning with neural networks for nonintrusive load monitoring 29 Dec 2016 redefik/ConvNILM/data_preprocessing.py a53d60ecd9334fa2 unverified MIT (permissive)
arXiv:aaai_27944 FengZicai/Interpretable3D/PointNet2/provider.py 59e9008f0a3743f1 ran fingerprinted MIT (permissive)
arXiv:Yang_TINC_Tree-Structured_Implicit_Neural_Compression_CVPR_2023_paper RichealYoung/TINC/utils/OctTree.py d25dac8ffbda7279 unverified MIT (permissive)
arXiv:2025.emnlp-main.688 yueen-ma/Astra/model/diffusion/utils.py 2c14d479564c0880 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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