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PatchEmbedding

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

PatchEmbedding appears in the code Syntology harvested for 25 papers, as 35 distinct code bodies found in 35 places (a place is one code body under one paper). At least one of them ran in 23 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 PatchEmbedding 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 33 of the 35 distinct code bodies named PatchEmbedding; 2 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
33ran
2unverified
11fingerprinted

Licence is a property of each copy, so it is counted per place: 17 of the 35 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

25 papers shown of 25, newest first; 35 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 8 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
Taming foundation model with invariance-oriented pre-training for broad-spectrum EEG analysis across signal-level, brain-state, and brain-health tasks added by Syntology 2026-08 (from id) jingyingma01/CodeBrain/Models/SSSM.py 7c0d85643eabcc08 ran · metamorphic tier: deterministic Apache-2.0 (permissive)
Taming foundation model with invariance-oriented pre-training for broad-spectrum EEG analysis across signal-level, brain-state, and brain-health tasks added by Syntology 2026-08 (from id) yuchen2199/CSBrain/models/CSBrain.py e2d66913214dd8a8 ran no licence file found · pointer only
MindAlign: Bridging EEG, Vision, and Language for Zero-Shot Visual Decoding added by Syntology 2026-05 (from id) anon-eeg/eeg_image_decoding/eeg_encoders.py 66341cd008e93aab ran · metamorphic tier: deterministic no licence file found · pointer only
Mind2Drive: Predicting Driver Intentions from EEG in Real-world On-Road Driving added by Syntology 2026-04 (from id) galosaimi/Mind2Drive/models/eegconformer.py eb3a75fa4315657e ran · metamorphic tier: deterministic MIT (permissive)
Learning Transferable Sensor Models via Language-Informed Pretraining added by Syntology 2026-03 (from id) yuc0805/SLIP/modeling_slip.py 3be8a11f65d2e093 ran fingerprinted no licence file found · pointer only
GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables added by Syntology 2026-03 (from id) decisionintelligence/GCGNet/ts_benchmark/baselines/GCGNet/models/gcgnet_model.py ce9179b982e2a774 ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
LEFT: Learnable Fusion of Tri-view Tokens for Unsupervised Time Series Anomaly Detection added by Syntology 2026-02 (from id) DezhengWang/Left/models/Left/LEFT.py 68edd3ab899d4d7e ran fingerprinted no licence file found · pointer only
Deep Models, Shallow Alignment: Uncovering the Granularity Mismatch in Neural Decoding added by Syntology 2026-01 (from id) yangdu-neuroai/shallow-alignment/module/eeg_encoder/model.py fcb7b8d602e1f7ab ran no licence file found · pointer only
Semi-Supervised Masked Autoencoders: Unlocking Vision Transformer Potential with Limited Data added by Syntology 2026-01 (from id) atik666/ssmae/ssmae.py 1aeec5c113afde14 ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
arXiv:2506.17230 2025-06 (from id) YichenLuo-0/MMET/model/mmet.py 35a388a3fe7f597e ran fingerprinted MIT (permissive)
Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations 1 May 2025 nyuolab/gateformer/models/Gateformer.py 2038fa9dbe88dfb8 ran no licence file found · pointer only
General Time-series Model for Universal Knowledge Representation of Multivariate Time-Series data 5 Feb 2025 MMTS4All/GTM/models/GTM.py 001088d43371581b unverified MIT (permissive)
CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding 10 Dec 2024 wjq-learning/cbramod/models/cbramod.py ae3827b2ef2f34c9 unverified MIT (permissive)
Learning Visual Abstract Reasoning through Dual-Stream Networks 29 Nov 2024 VecchioID/DRNet/src/model.py e4d709f5a7cb6e80 ran · metamorphic tier: deterministic MIT (permissive)
Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting 8 Oct 2024 melmaphother/timedart/models/TimeDART.py e7d26d51c61fe223 ran · metamorphic tier: invariant no licence file found · pointer only
UniTS: A Unified Multi-Task Time Series Model 29 Feb 2024 mims-harvard/UniTS/models/UniTS.py acc8fc941a65797e ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
MOMENT: A Family of Open Time-series Foundation Models 6 Feb 2024 moment-timeseries-foundation-model/moment-research/moment/models/moment.py d34a07561490ed88 ran · metamorphic tier: deterministic MIT (permissive)
MOMENT: A Family of Open Time-series Foundation Models 6 Feb 2024 moment-timeseries-foundation-model/moment/momentfm/models/moment.py e53222338698c548 ran MIT (permissive)
U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting 4 Jan 2024 XiangMa-Shaun/U-Mixer/models/UMixer.py f0ce90b8fe6a4a31 ran fingerprinted no licence file found · pointer only
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models 3 Oct 2023 kimmeen/time-llm/models/TimeLLM.py 65e5421c42a40f72 ran fingerprinted Apache-2.0 (permissive)
Shatter and Gather: Learning Referring Image Segmentation with Text Supervision 29 Aug 2023 kdwonn/SaG/model/cross_modal_attention.py f0d8b6422efbc32b ran fingerprinted no licence file found · pointer only
Decoding Natural Images from EEG for Object Recognition 25 Aug 2023 eeyhsong/nice-eeg/nice_stand.py 8e7c1b0649fa0c51 ran · metamorphic tier: deterministic MIT (permissive)
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving 24 Jan 2023 valeoai/rangevit/models/rangevit.py 84bdbfecb1b19ac6 ran · metamorphic tier: deterministic Apache-2.0 (permissive)
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers 27 Nov 2022 WenjieDu/PyPOTS/pypots/nn/modules/patchtst/layers.py 9bb8f29c7ede97fa ran · metamorphic tier: invariant fingerprinted BSD-3-Clause (permissive)
MLP-Mixer: An all-MLP Architecture for Vision 4 May 2021 KiUngSong/Vision/MLP_Mixer/MLP_Mixer.py aa0b7399ab0f3556 ran · metamorphic tier: deterministic no licence file found · pointer only
MLP-Mixer: An all-MLP Architecture for Vision 4 May 2021 engichang1467/MLP-Mixer-Reimplementation/model.py 74817a68240e5a2c ran · metamorphic tier: deterministic no licence file found · pointer only
MLP-Mixer: An all-MLP Architecture for Vision 4 May 2021 engichang1467/kan-mixer/model.py 332480efc7af167d ran no licence file found · pointer only
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows 25 Mar 2021 shkarupa-alex/tfswin/tfswin/model.py db172203edda56d4 ran MIT (permissive)
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale 22 Oct 2020 YousefGamal220/Vision-Transformers/vision_transformer.py 69703cf0b78f4fcd ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale 22 Oct 2020 mdmhriday/vision-transformers/models/vit.py d65bbe0aa34f842f ran · metamorphic tier: deterministic MIT (permissive)
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale 22 Oct 2020 explainingai-code/VIT-Pytorch/model/transformer.py 08a197f4ac5cab24 ran no licence file found · pointer only
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale 22 Oct 2020 drumpt/ViT/model.py 8187c4e8de75ff9f ran · metamorphic tier: deterministic no licence file found · pointer only
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale 22 Oct 2020 Aedelon/ViT-PyTorch-Replication/python_files/modules.py ffe7a41ff6c1d31f ran · metamorphic tier: deterministic MIT (permissive)
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale 22 Oct 2020 KiUngSong/Vision/ViT/ViT_pytorch.py f4edb177e106f2f4 ran no licence file found · pointer only
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale 22 Oct 2020 Ugenteraan/Vanilla-ViT/ViT/ViT.py 054df1e2f70d626c ran 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".

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