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BatchNorm

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

BatchNorm appears in the code Syntology harvested for 19 papers, as 20 distinct code bodies found in 20 places (a place is one code body under one paper). At least one of them ran in 19 of the papers; 8 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 BatchNorm 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 20 of the 20 distinct code bodies named BatchNorm; 0 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
20ran
0unverified
8fingerprinted

Licence is a property of each copy, so it is counted per place: 13 of the 20 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

19 papers shown of 19, newest first; 20 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; 1 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
VT-FSL: Bridging Vision and Text with LLMs for Few-Shot Learning added by Syntology 2025-09 (from id) peacelwh/VT-FSL/model/visformer.py 05eede504e344a58 ran MIT (permissive)
Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention 8 Jul 2024 grass-gnn/grass/grass/gnn.py 5f4daa7a52a1a432 ran · metamorphic tier: deterministic fingerprinted licence not identified · pointer only
AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring 13 Jun 2024 INVOKERer/LoFormer/basicsr/models/archs/AdaRevID_arch.py aa30d63064354a0f ran · metamorphic tier: deterministic fingerprinted licence not identified · pointer only
ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological Text 26 May 2024 comp-well-org/esi/model/xresnet1d.py 280ac1abfe484cdc ran GPL-3.0 (copyleft) · pointer only
Graph as Point Set 5 May 2024 GraphPKU/GraphAsSet/PST.py 940703b780d57034 ran no licence file found · pointer only
MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction 19 Feb 2024 mulplue/mgf/src/models/TP/fastpredNF.py 5b716a5982a339d2 ran fingerprinted MIT (permissive)
Don't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series Transformer 6 Jul 2022 mariomorvan/denoising-time-series-transformer/models/models.py 42f0ae0ee495e5d7 ran · metamorphic tier: invariant GPL-3.0 (copyleft) · pointer only
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series 16 Feb 2022 enyandai/ganf/models/GANF.py 161cda5cabbb68c3 ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference 1 Oct 2021 francois-rozet/amnre/amnre/models.py 4a85bc120f1fe8ba ran MIT (permissive)
CoCoNets: Continuous Contrastive 3D Scene Representations 8 Apr 2021 shamitlal/CoCoNets/src/archs/DCCA_sparse_networks_3d.py 4c0bbfaf083755f5 ran · metamorphic tier: deterministic no licence file found · pointer only
Flow-based Kernel Prior with Application to Blind Super-Resolution 29 Mar 2021 JingyunLiang/FKP/FKP/network.py eb02a51ee12f8816 ran fingerprinted Apache-2.0 (permissive)
Pseudo-Rehearsal for Continual Learning with Normalizing Flows 5 Jul 2020 ispamm/PRER/continual_ai/cl_strategies/multi_task/prer/PRER.py 3fa807854aaa4305 ran no licence file found · pointer only
Gradient Boosted Normalizing Flows 27 Feb 2020 robert-giaquinto/gradient-boosted-normalizing-flows/models/boosted_flow.py 84ebb2409e0a1cc7 ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
Masked Autoregressive Flow for Density Estimation 19 May 2017 e-hulten/real-nvp-2d/new_model.py f3945dba0b2f2a01 ran no licence file found · pointer only
Deep Sets 10 Mar 2017 acciorocketships/setautoencoder/sae/sae_model.py df424652992b1ee4 ran · metamorphic tier: deterministic no licence file found · pointer only
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 9 Mar 2017 dkalpakchi/ReproducingSCAPytorch/few_shot_learning_system.py ea8b6ed6450139f9 ran MIT (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 AyushAniket/ResNET-and-various-normalizations/train_cifar.py 44111bb98442468d ran no licence file found · pointer only
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 11 Feb 2015 labmlai/annotated_deep_learning_paper_implementations/labml_nn/normalization/batch_norm/mnist.py 629771a2e32edf83 ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 11 Feb 2015 tanjeffreyz/batch-normalization/models.py fd8f4df6039d46b0 ran fingerprinted no licence file found · pointer only
arXiv:Wang_In2SET_Intra-Inter_Similarity_Exploiting_Transformer_for_Dual-Camera_Compressive_Hyperspectral_Imaging_CVPR_2024_paper 2JONAS/In2SET/net.py e3e30901d6fc72b1 ran no licence file found · pointer only

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