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activation

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

activation appears in the code Syntology harvested for 30 papers, as 31 distinct code bodies found in 36 places (a place is one code body under one paper). At least one of them ran in 10 of the papers; 1 of the code bodies carries 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 activation 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 9 of the 31 distinct code bodies named activation; 22 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
4ran · our draft was wrong
1ran · fixture could not drive it
3ran
22unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 36 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

30 papers shown of 30, newest first; 36 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
NC-REG: Neural Cortical Maps for Rigid Registration added by Syntology 2026-01 (from id) NVlabs/tiny-cuda-nn/benchmarks/image/bench_tensorflow.py 0787773a2ca480e2 unverified licence not identified · pointer only
Simple, Good, Fast: Self-Supervised World Models Free of Baggage 3 Jun 2025 jrobine/sgf/src/wm.py afb336dc19e6c757 ran · our draft was wrong MIT (permissive)
Poseidon: Efficient Foundation Models for PDEs 29 May 2024 bogdanraonic3/convolutionalneuraloperator/_OtherModels/DeepONetModules.py 75d818b6a2b255ce ran MIT (permissive)
Poseidon: Efficient Foundation Models for PDEs 29 May 2024 bogdanraonic3/convolutionalneuraloperator/_OtherModels/GeneralModules.py 77016bf273471ae3 ran MIT (permissive)
VideoMamba: State Space Model for Efficient Video Understanding 11 Mar 2024 hongyuanyu/span/basicsr/archs/span_arch.py a2eac1cf4f3c5137 ran · our draft was wrong Apache-2.0 (permissive)
Deconstructing Denoising Diffusion Models for Self-Supervised Learning 25 Jan 2024 futurexiang/ddae/model/wideresnet_noise_song.py ae5efdf6b934f6fd ran no licence file found · pointer only
LDReg: Local Dimensionality Regularized Self-Supervised Learning 19 Jan 2024 JoJoNing25/DDAug/losses/ntxent_lidaug.py cd6af889cd96c427 ran · honoured contract fingerprinted MIT (permissive)
Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification 25 Apr 2023 meteoswiss/ldcast/ldcast/models/utils.py db1e29d0f75ef2ae unverified Apache-2.0 (permissive)
Convolutional Neural Operators for robust and accurate learning of PDEs 2 Feb 2023 camlab-ethz/convolutionalneuraloperator/_OtherModels/DeepONetModules.py 75d818b6a2b255ce ran MIT (permissive)
Convolutional Neural Operators for robust and accurate learning of PDEs 2 Feb 2023 camlab-ethz/convolutionalneuraloperator/_OtherModels/GeneralModules.py 77016bf273471ae3 ran MIT (permissive)
Residual Local Feature Network for Efficient Super-Resolution 16 May 2022 amazingren/ntire2024_esr/models/team17_AdvancedSR.py 58c857be005832f6 unverified MIT (permissive)
Residual Local Feature Network for Efficient Super-Resolution 16 May 2022 amazingren/ntire2024_esr/models/team00_RLFN.py a27fbbc4773085f3 unverified MIT (permissive)
Residual Local Feature Network for Efficient Super-Resolution 16 May 2022 amazingren/ntire2024_esr/models/team04_RCN.py 3997bad031143725 unverified MIT (permissive)
Residual Local Feature Network for Efficient Super-Resolution 16 May 2022 amazingren/ntire2024_esr/models/team13_RLFN_B.py 8f7d71e379564834 unverified MIT (permissive)
Residual Local Feature Network for Efficient Super-Resolution 16 May 2022 amazingren/ntire2024_esr/models/team15_EMaxGMan.py 51bcb086aa19b26f unverified MIT (permissive)
End-to-End Transformer Based Model for Image Captioning 29 Mar 2022 232525/PureT/models/pure_transformer.py a7b560d30ae66959 ran · our draft was wrong no licence file found · pointer only
OpenFWI: Large-Scale Multi-Structural Benchmark Datasets for Seismic Full Waveform Inversion 4 Nov 2021 mroberto166/nio/DeepONetModules.py 75d818b6a2b255ce ran MIT (permissive)
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding 26 May 2021 google-research/nested-transformer/models/wide_resnet.py 3523de76ecdc1efc unverified Apache-2.0 (permissive)
A contrastive rule for meta-learning 4 Apr 2021 smonsays/contrastive-meta-learning/fewshot/model.py 9a8856189ab87282 unverified MIT (permissive)
Certified Robustness to Programmable Transformations in LSTMs 15 Feb 2021 foreverzyh/certified_lstms/src/ibp.py 5c7044eca4dc0224 unverified MIT (permissive)
Understanding Approximate Fisher Information for Fast Convergence of Natural Gradient Descent in Wide Neural Networks 2 Oct 2020 kazukiosawa/ngd_in_wide_nn/numpy-based/empirical.py 91f17369226529c0 unverified MIT (permissive)
A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables 2 Jun 2020 bdevl/PGMCPC/bottleneck/codec.py a1df282e918b38c3 unverified MIT (permissive)
Gradient Centralization: A New Optimization Technique for Deep Neural Networks 3 Apr 2020 HamadYA/GhostFaceNets/backbones/ghost_model.py 619357c6cd6c6727 unverified MIT (permissive)
Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive Networks 13 Jun 2019 cics-nd/ar-pde-cnn/1D-Burger-SWAG/nn/denseEDcirc.py 631465d7a0bb98e1 unverified MIT (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 facebookresearch/pycls/pycls/models/effnet.py 6ec3d848be3b48bd unverified MIT (permissive)
Searching for MobileNetV3 6 May 2019 ckyrkou/EmergencyNet/code/model.py d04dc47c293a9646 ran · fixture could not drive it no licence file found · pointer only
Feedback Network for Image Super-Resolution 23 Mar 2019 Paper99/SRFBN_CVPR19/networks/blocks.py c2c7f6f8109d22e1 unverified MIT (permissive)
Multi-Task Deep Neural Networks for Natural Language Understanding 31 Jan 2019 xycforgithub/MultiTask-MRC/src/common.py ed169d65a4e1896a unverified BSD-3-Clause (permissive)
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data 18 Jan 2019 cics-nd/pde-surrogate/models/codec.py a1df282e918b38c3 unverified MIT (permissive)
Variational Autoencoders for Collaborative Filtering 16 Feb 2018 amoussawi/recoder/recoder/nn.py 6770d02bb49a9b81 unverified MIT (permissive)
Mixed Precision Training 10 Oct 2017 NVIDIA/DeepRecommender/reco_encoder/model/model.py 509cf6cb6046a956 unverified MIT (permissive)
Aggregated Residual Transformations for Deep Neural Networks 16 Nov 2016 facebookresearch/pycls/pycls/models/anynet.py f680fb95fe5a3a59 unverified MIT (permissive)
Towards Evaluating the Robustness of Neural Networks 16 Aug 2016 PerryXDeng/adversarial_mnist_attacks/neural_network.py cc16b0d5bc15bb67 unverified MIT (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 facebookresearch/pycls/pycls/models/resnet.py deddb892c543de2a unverified MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 bragancas/vnet_pytorch-atriaseg2018/LASC18/model.py cfd778f54edabe94 ran · our draft was wrong MIT (permissive)
arXiv:Li_Learning_Hierarchical_Line_Buffer_for_Image_Processing_ICCV_2025_paper SonyResearch/LineBufferNet/models/linebuffernet.py 58c857be005832f6 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".

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