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lrelu

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

lrelu appears in the code Syntology harvested for 33 papers, as 27 distinct code bodies found in 34 places (a place is one code body under one paper). At least one of them ran in 3 of the papers; 3 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 lrelu 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 3 of the 27 distinct code bodies named lrelu; 24 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

2ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
1ran
24unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 34 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

33 papers shown of 33, newest first; 34 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; 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
Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Fields Using Sharpness Prior 1 Jan 2024 benhenryl/sharpnerf/preprocess_focus.py 9251b1037c26cc83 ran fingerprinted MIT (permissive)
Skinned Motion Retargeting with Residual Perception of Motion Semantics & Geometry 15 Mar 2023 Kebii/R2ET/src/ops.py 9acfdca54949c838 unverified MIT (permissive)
Multi-Realism Image Compression with a Conditional Generator 28 Dec 2022 Nikolai10/MRIC/src/compare_gan_tf2/arch_ops.py c13acb298b68dca5 unverified Apache-2.0 (permissive)
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization 2 Aug 2022 XiangGao1102/CTSS/net/generator.py d31084f599747086 unverified MIT (permissive)
HyperCube: Implicit Field Representations of Voxelized 3D Models 12 Oct 2021 mproszewska/hypercube/latent_GAN/ops.py 017a6fa9ecaa8817 unverified MIT (permissive)
SIPSA-Net: Shift-Invariant Pan Sharpening with Moving Object Alignment for Satellite Imagery 6 May 2021 brachiohyup/SIPSA/net.py 22176e23053c3704 ran · honoured contract fingerprinted no licence file found · pointer only
IR-GAN: Room Impulse Response Generator for Far-field Speech Recognition 2020-10 (from id) GAMMA-UMD/IR-GAN/wavegan.py 6f9251347b36fbe6 unverified MIT (permissive)
Guided Fine-Tuning for Large-Scale Material Transfer 6 Jul 2020 valentin-deschaintre/Guided_fine_tuning_SVBRDF/tfHelpers.py 19af0fe9ccd63f6b unverified MIT (permissive)
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification 21 Apr 2020 hchoi71/AMC-Loss/utils.py d1663043431bd74c unverified MIT (permissive)
Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow 12 Mar 2020 lij131/LatentSpaceSubdivision-base/ops.py fe116d2c6ecc52cf unverified MIT (permissive)
Fast Adaptation to Super-Resolution Networks via Meta-Learning 9 Jan 2020 parkseobin/MLSR/IDN_definition.py 6392a605be0ec82c unverified MIT (permissive)
Fully Automatic Video Colorization with Self-Regularization and Diversity 4 Aug 2019 ChenyangLEI/Fully-Automatic-Video-Colorization-with-Self-Regularization-and-Diversity/network.py f406422099514e4c unverified MIT (permissive)
Flexible SVBRDF Capture with a Multi-Image Deep Network 2019-06 (from id) valentin-deschaintre/multi-image-deepNet-SVBRDF-acquisition/tfHelpers.py 19af0fe9ccd63f6b unverified MIT (permissive)
ODE$^2$VAE: Deep generative second order ODEs with Bayesian neural networks 27 May 2019 cagatayyildiz/ODE2VAE/model/tf_utils.py c37722f2da367b94 unverified MIT (permissive)
Semi-Supervised Learning by Augmented Distribution Alignment 20 May 2019 qinenergy/adanet/convlarge/layers.py 27b7ebb68a597e6f unverified MIT (permissive)
SelFlow: Self-Supervised Learning of Optical Flow 19 Apr 2019 ppliuboy/SelFlow/utils.py 69e0961ea54f416c unverified MIT (permissive)
DDFlow: Learning Optical Flow with Unlabeled Data Distillation 25 Feb 2019 ppliuboy/DDFlow/utils.py 69e0961ea54f416c unverified MIT (permissive)
Self-Supervised GANs via Auxiliary Rotation Loss 27 Nov 2018 zhangqianhui/Self-Supervised-GANs/ops.py 207527695edefd17 unverified Apache-2.0 (permissive)
Conditional WaveGAN 27 Sep 2018 acheketa/cwavegan/tpu/tpu_model.py 6f9251347b36fbe6 unverified MIT (permissive)
Speech Denoising with Deep Feature Losses 27 Jun 2018 francoisgermain/SpeechDenoisingWithDeepFeatureLosses/helper.py 1a2446e08ebe5a2b unverified MIT (permissive)
Single Image Reflection Separation with Perceptual Losses 14 Jun 2018 ceciliavision/perceptual-reflection-removal/discriminator.py 89c23bcf39c231d9 unverified Apache-2.0 (permissive)
Unsupervised Attention-guided Image to Image Translation 6 Jun 2018 AlamiMejjati/Unsupervised-Attention-guided-Image-to-Image-Translation/layers.py 59154719255f5869 unverified MIT (permissive)
Learning to See in the Dark 4 May 2018 cchen156/Learning-to-See-in-the-Dark/train_Fuji.py f406422099514e4c unverified MIT (permissive)
Learning a Discriminative Feature Network for Semantic Segmentation 25 Apr 2018 YuhuiMa/DFN-tensorflow/components.py 19af0fe9ccd63f6b unverified Apache-2.0 (permissive)
Wasserstein Auto-Encoders 5 Nov 2017 tolstikhin/wae/ops.py fde9f573ace8d77f unverified BSD-3-Clause (permissive)
Towards Deeper Understanding of Variational Autoencoding Models 28 Feb 2017 ShengjiaZhao/Generalized-PixelVAE/pixel_cnn_pp/encoder.py 4661a1e5a82037d4 unverified MIT (permissive)
Dirty Pixels: Towards End-to-End Image Processing and Perception 23 Jan 2017 princeton-computational-imaging/DirtyPixels/nets/unet.py f406422099514e4c unverified MIT (permissive)
Spatially Adaptive Computation Time for Residual Networks 7 Dec 2016 mfigurnov/sact/cifar_model.py 4b998dd1f53d28b4 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Image-to-Image Translation with Conditional Adversarial Networks 21 Nov 2016 awjuliani/Pix2Pix-Film/helper.py 3270c9ec35a576f9 unverified MIT (permissive)
Perceptual Losses for Real-Time Style Transfer and Super-Resolution 27 Mar 2016 thatbrguy/Dehaze-GAN/legacy/utils.py f1021e0f87be533e unverified MIT (permissive)
Deep Interactive Object Selection 13 Mar 2016 IntelVCL/Intseg/IntSeg_Train.py f406422099514e4c unverified MIT (permissive)
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 NicicDamjan/SoftKompjuting/DCGAN.py 0273e02ae86d0147 ran · honoured contract fingerprinted no licence file found · pointer only
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 elybecker/dcgan/model.py 91ec4d061d94978f unverified no licence file found · pointer only
arXiv:Zhang_Dispel_Darkness_for_Better_Fusion_A_Controllable_Visual_Enhancer_based_CVPR_2024_paper HaoZhang1018/DDBF/model.py 5354eb4115b864bc 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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