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uniform

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

uniform appears in the code Syntology harvested for 58 papers, as 40 distinct code bodies found in 61 places (a place is one code body under one paper). At least one of them ran in 18 of the papers; 5 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 uniform 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 16 of the 40 distinct code bodies named uniform; 24 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

3ran · honoured contract
0ran · violated contract
9ran · our draft was wrong
0ran · fixture could not drive it
4ran
24unverified
5fingerprinted

Licence is a property of each copy, so it is counted per place: 12 of the 61 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

58 papers shown of 58, newest first; 61 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 3 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
Point Cloud Sequence Encoding for Material-conditioned Graph Network Simulators added by Syntology 2026-05 (from id) hehefan/Point-Spatio-Temporal-Convolution/modules/pst_convolutions.py 2bb0eb60717758a7 ran fingerprinted MIT (permissive)
PENGUIN: General Vital Sign Reconstruction from PPG with Flow Matching State Space Model added by Syntology 2026-02 (from id) Neurogica/PENGUIN/src/models/PENGUIN.py 1ca2d1ff19522291 ran · our draft was wrong BSD-3-Clause-Clear · pointer only
Consistency-Regularized GAN for Few-Shot SAR Target Recognition added by Syntology 2026-01 (from id) yikuizhai/Cr-GAN/crgan/losses.py b019f5a007f798da ran MIT (permissive)
Rapid patient-specific neural networks for intraoperative X-ray to volume registration 20 Mar 2025 eigenvivek/xvr/src/xvr/model/sampler.py 563c1cc6278e5940 unverified MIT (permissive)
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy 27 Oct 2024 identical code first harvested elsewhere 7daf2f4e6899de97 ran · our draft was wrong licence of this copy not recorded
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy 27 Oct 2024 huggingface/open-muse/muse/modeling_transformer.py 66e51521e0875290 ran · our draft was wrong Apache-2.0 (permissive)
Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance 17 Oct 2024 huggingface/open-muse/muse/modeling_transformer.py 7daf2f4e6899de97 ran · our draft was wrong Apache-2.0 (permissive)
Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance 17 Oct 2024 jiwanhur/unlockmgm/muse/modeling_transformer.py 66e51521e0875290 ran · our draft was wrong no licence file found · pointer only
MaskBit: Embedding-free Image Generation via Bit Tokens 24 Sep 2024 markweberdev/maskbit/evaluator/evaluator.py 3695852af4744be5 ran fingerprinted Apache-2.0 (permissive)
OpenBias: Open-set Bias Detection in Text-to-Image Generative Models 11 Apr 2024 picsart-ai-research/openbias/make_plots.py bdb9b92b20cd985b ran fingerprinted no licence file found · pointer only
Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics 19 Feb 2024 graph-com/hept/src/models/attention/hept.py 4a3d3d2dcce1a90a ran · our draft was wrong MIT (permissive)
Combating Bilateral Edge Noise for Robust Link Prediction 2 Nov 2023 flyingdoog/PTDNet/inits.py b0d1b78daecde7e9 unverified no licence file found · pointer only
Improving Vision Anomaly Detection with the Guidance of Language Modality 4 Oct 2023 Anfeather/CMG/data.py a77796f33e11421d unverified no licence file found · pointer only
Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos 18 Aug 2023 johnsonsign/mast-pre/modules/pst_convolutions.py 2bb0eb60717758a7 ran fingerprinted MIT (permissive)
Kernel quadrature with randomly pivoted Cholesky 6 Jun 2023 eepperly/RPCholesky-Kernel-Quadrature/python/quadrature.py 1459f244b5b15490 ran · honoured contract MIT (permissive)
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows 3 May 2023 duchao0726/conditional-swf/models.py 986a8dd38cbe6fef ran · our draft was wrong Apache-2.0 (permissive)
Learnable Topological Features for Phylogenetic Inference via Graph Neural Networks 17 Feb 2023 tyuxie/vbpi-sibranch/src/gnn_branchModel.py 928d2600c0be05ad unverified MIT (permissive)
Audio-Visual Efficient Conformer for Robust Speech Recognition 4 Jan 2023 burchim/avec/nnet/initializations.py d049444c78f55044 unverified Apache-2.0 (permissive)
Muse: Text-To-Image Generation via Masked Generative Transformers 2 Jan 2023 identical code first harvested elsewhere 66e51521e0875290 ran · our draft was wrong licence of this copy not recorded
ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency 29 Nov 2022 opendilab/ace/ding/league/algorithm.py c7dde4c97b7136b3 unverified Apache-2.0 (permissive)
PASHA: Efficient HPO and NAS with Progressive Resource Allocation 14 Jul 2022 ondrejbohdal/pasha/syne_tune/config_space.py 5ae9da9325fddc0b unverified Apache-2.0 (permissive)
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility 11 Jul 2022 BehroozRazeghi/CLUB/utils/sampler.py 09b4e557982cb315 unverified MIT (permissive)
A Representation Learning Framework for Property Graphs 27 Jun 2022 yifan-h/pge/pge/inits.py b0d1b78daecde7e9 unverified MIT (permissive)
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction 9 Mar 2022 caiyuanhao1998/MST/real/train_code/architecture/CST.py acc89f0bd5a8ecc6 ran · our draft was wrong MIT (permissive)
Deep Reinforcement Learning for Entity Alignment 7 Mar 2022 guolingbing/RLEA/src/openea/approaches/gcn_align.py b0d1b78daecde7e9 unverified MIT (permissive)
Explaining machine-learned particle-flow reconstruction 24 Nov 2021 faroukmokhtar/particleflow/mlpf/model/hept.py 1d809fe0159efa28 unverified Apache-2.0 (permissive)
Boosted CVaR Classification 26 Oct 2021 runtianz/boosted_cvar/algs.py f4976c92e2f0cbda unverified MIT (permissive)
Dangers of Bayesian Model Averaging under Covariate Shift 22 Jun 2021 google-research/google-research/mir_uai24/priors.py d942f42494790446 ran · honoured contract Apache-2.0 (permissive)
Data-driven discovery of Green's functions with human-understandable deep learning 1 May 2021 NBoulle/greenlearning/greenlearning/quadrature_weights.py fc16774c82a2cb75 unverified Apache-2.0 (permissive)
Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow 30 Mar 2021 uof1745-cmd/PCN/FISH-Net/model/pennet4.py f21fda4691ebe44e ran · our draft was wrong fingerprinted no licence file found · pointer only
Contrastive Learning Inverts the Data Generating Process 17 Feb 2021 brendel-group/cl-ica/main_kitti.py efa370ec79f2dce2 ran · honoured contract fingerprinted MIT (permissive)
Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding 19 Jul 2020 songtaohe/Sat2Graph/model/tf_common_layer.py 412439874d75a376 unverified MIT (permissive)
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs 20 Jun 2020 tkipf/gcn/gcn/inits.py b0d1b78daecde7e9 unverified MIT (permissive)
Knowledge Embedding Based Graph Convolutional Network 12 Jun 2020 Maysir/GEM-GCN/inits.py aa7d8441fcd40dbf unverified MIT (permissive)
A Variational Approach to Privacy and Fairness 11 Jun 2020 BehroozRazeghi/Variational-Leakage/utils/sampler.py 09b4e557982cb315 unverified MIT (permissive)
Bandit Samplers for Training Graph Neural Networks 10 Jun 2020 xavierzw/ogb-geniepath-bs/inits.py b0d1b78daecde7e9 unverified MIT (permissive)
Qualitative Controller Synthesis for Consumption Markov Decision Processes 2020-05 (from id) xblahoud/FiMDP/fimdp/distribution.py 52bf5d683852b10b unverified MIT (permissive)
Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN 1 Apr 2020 skx300/DyHATR/src/models/inits.py b0d1b78daecde7e9 unverified MIT (permissive)
Unifying Graph Convolutional Neural Networks and Label Propagation 17 Feb 2020 achalagarwal/gcn-lpa/src/inits.py 5215c72b1d4d573c unverified MIT (permissive)
Unifying Graph Convolutional Neural Networks and Label Propagation 17 Feb 2020 hwwang55/GCN-LPA/src/inits.py f433ebe52ac58c73 unverified MIT (permissive)
Why Having 10,000 Parameters in Your Camera Model is Better Than Twelve 5 Dec 2019 SimonLBSoerensen/Flexible-Camera-Calibration/flexiblecc/CentralModel/BSpline/knot_generators.py a24b649f98dd40e3 unverified MIT (permissive)
GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction 5 Nov 2019 CRIPAC-DIG/GraphAIR/tensorflow_code/inits.py b0d1b78daecde7e9 unverified MIT (permissive)
The Differentiable Cross-Entropy Method 27 Sep 2019 facebookresearch/dcem/exps/cartpole_emb.py 4d87e0b22738782f ran · our draft was wrong licence not identified · pointer only
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning 17 Aug 2019 hkust-vgd/riconv/utils/pointfly.py dee3f06c4723c3e4 unverified MIT (permissive)
Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation 5 Aug 2019 walsvid/Pixel2MeshPlusPlus/modules/inits.py b0d1b78daecde7e9 unverified BSD-3-Clause (permissive)
Deep Bayesian Optimization on Attributed Graphs 31 May 2019 csjtx1021/DGBO/gcn/inits.py b0d1b78daecde7e9 unverified MIT (permissive)
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification 13 Feb 2019 CRIPAC-DIG/H-GCN/tensorflow_code/inits.py b0d1b78daecde7e9 unverified MIT (permissive)
Label Efficient Semi-Supervised Learning via Graph Filtering 28 Jan 2019 liqimai/Efficient-SSL/gcn/inits.py b0d1b78daecde7e9 unverified MIT (permissive)
Bayesian graph convolutional neural networks for semi-supervised classification 27 Nov 2018 huawei-noah/BGCN/src/inits.py b0d1b78daecde7e9 unverified MIT recorded; this copy not marked cleared · pointer only
A Recurrent Graph Neural Network for Multi-Relational Data 5 Nov 2018 bioannidis/adaptive_recurrent_graph_neural_network/inits.py b0d1b78daecde7e9 unverified MIT (permissive)
Supervising strong learners by amplifying weak experts 19 Oct 2018 rmoehn/amplification/amplification/tasks/core.py c6ae75112108e1dd unverified MIT recorded; this copy not marked cleared · pointer only
Deep Graph Infomax 27 Sep 2018 SpaceLearner/DisenGraphRep/models/infomax.py aee2e93dc7075ef3 unverified MIT (permissive)
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images 5 Apr 2018 nywang16/Pixel2Mesh/p2m/inits.py b0d1b78daecde7e9 unverified Apache-2.0 (permissive)
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks 3 Apr 2018 IBM/Graph2Seq/main/inits.py b0d1b78daecde7e9 unverified Apache-2.0 (permissive)
Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks 30 Nov 2017 bohu615/nu_gan/utils/gan_model.py d8786b3afb7d32a4 ran · our draft was wrong no licence file found · pointer only
Stochastic Training of Graph Convolutional Networks with Variance Reduction 29 Oct 2017 thu-ml/stochastic_gcn/gcn/inits.py 4c4b48cc045c8e12 unverified MIT (permissive)
Variational Fourier features for Gaussian processes 21 Nov 2016 jameshensman/VFF/VFF/psi_statistics.py 6c664552f0a85f97 unverified Apache-2.0 (permissive)
Revisiting Semi-Supervised Learning with Graph Embeddings 29 Mar 2016 asarigun/la-gcn-tensorflow/inits.py b0d1b78daecde7e9 unverified MIT (permissive)
arXiv:aaai_20873 RICE-EIC/Early-Bird-GCN/gcn/inits.py b0d1b78daecde7e9 unverified Apache-2.0 (permissive)
arXiv:aaai_17462 microsoft/nni/nni/parameter_expressions.py 379270ae1beb4a71 unverified MIT (permissive)
arXiv:Huang_Systematic_Comparison_of_Semi-supervised_and_Self-supervised_Learning_for_Medical_Image_CVPR_2024_paper tufts-ml/SSL-vs-SSL-benchmark/SwAV_main.py 0f3cbb415bf767f9 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