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get_weights

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

get_weights appears in the code Syntology harvested for 34 papers, as 32 distinct code bodies found in 36 places (a place is one code body under one paper). At least one of them ran in 12 of the papers; 0 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 get_weights 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 13 of the 32 distinct code bodies named get_weights; 19 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

5ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
2ran · fixture could not drive it
3ran
19unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 9 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

34 papers shown of 34, 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 4 papers added by Syntology. 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
Federated generative event models for tokenized electronic health records added by Syntology 2026-08 (from id) bbj-lab/coreopsis/src/coreopsis/task.py ae8dd1052ccd2327 ran MIT (permissive)
Federated Survival Analysis in Healthcare: A Multi-Model Evaluation on Cross-Institutional Heterogeneous Breast Cancer Data added by Syntology 2026-06 (from id) nataliamorenob/Survival-Models-in-Federated-Healthcare-Settings/src/Training_Modes/Federated_Learning/task.py 59514d7e3fcfc6ba ran no licence file found · pointer only
CARE: Confounder-Aware Aggregation for Reliable LLM Evaluation added by Syntology 2026-03 (from id) SprocketLab/CARE/src/pgm_tools.py 231e0b0f0a9a3920 ran · fixture could not drive it no licence file found · pointer only
Scalable Kernel-Based Distances for Statistical Inference and Integration added by Syntology 2026-02 (from id) MashaNaslidnyk/kqe/kqe/kqd.py 47f33ec36d35e10d ran · honoured contract GPL-3.0 (copyleft) · pointer only
$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting 29 May 2025 decisionintelligence/k2vae/probts/model/forecast_module.py 627f3d58e3247384 unverified MIT recorded; this copy not marked cleared · pointer only
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer 4 Nov 2024 microsoft/ProbTS/probts/model/forecast_module.py 627f3d58e3247384 unverified MIT (permissive)
Visual Fourier Prompt Tuning 2 Nov 2024 runtsang/VFPT/ls_net_plotter.py 5fa87577ccee9cca unverified licence not identified · pointer only
Where Do Large Learning Rates Lead Us? 29 Oct 2024 isadrtdinov/understanding-large-lrs/synthetic_example/model.py 79a3e75a15ed94dd unverified Apache-2.0 (permissive)
Robust Conformal Volume Estimation in 3D Medical Images 29 Jul 2024 benolmbrt/wcp_miccai/weighted_cp.py f4e8f43c8e008e21 ran · fixture could not drive it no licence file found · pointer only
SUMix: Mixup with Semantic and Uncertain Information 10 Jul 2024 jinxins/sumix/openmixup/utils/loss_landscape_utils.py 5fa87577ccee9cca unverified MIT (permissive)
Astral: training physics-informed neural networks with error majorants 4 Jun 2024 4gnskq5g2s-collab/Astral/datasets/Convection_Diffusion.py afa8720aaf616f2c ran Unlicense (permissive)
PyNeRF: Pyramidal Neural Radiance Fields 30 Nov 2023 hturki/pynerf/pynerf/fields/pynerf_base_field.py fa56d97e56f4074e unverified no licence file found · pointer only
Mini but Mighty: Finetuning ViTs with Mini Adapters 7 Nov 2023 iemprog/mimi/few_shot_prune.py e65098a07aaba1a6 unverified no licence file found · pointer only
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration 20 Sep 2023 kxzxvbk/Fling/fling/component/client/fedcac_client.py cb9da6554a729a17 ran · our draft was wrong Apache-2.0 (permissive)
Noise Stability Optimization for Finding Flat Minima: A Hessian-based Regularization Approach 14 Jun 2023 virtuosoresearch/noise-stability-optimization/exps_on_graph_datasets/compute_noise_stability.py 7f5a965a9547d732 unverified MIT (permissive)
Spatio-Angular Convolutions for Super-resolution in Diffusion MRI 1 Jun 2023 m-lyon/dmri-pcconv/dmri_pcconv/core/weights.py 90be7203b2cdb95e unverified MIT (permissive)
NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation 28 Apr 2023 tongzhou0101/nnsplitter/utils.py 95420dae8de37f2f unverified MIT (permissive)
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System 20 Mar 2023 FedML-AI/FedML/python/fedml/utils/model_utils.py 443938d9ecd165f7 unverified Apache-2.0 (permissive)
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion 9 Feb 2023 virtuosoresearch/generalization-in-graph-neural-networks/src/compute_hessian_spectra.py 7144f95dffb38b67 ran · our draft was wrong MIT (permissive)
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion 9 Feb 2023 neu-statsml-research/generalization-in-graph-neural-networks/src/compute_hessian_norm.py 7f274d9139984ff5 unverified MIT (permissive)
Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets 6 Jan 2022 openai/grok/grok/measure.py 269ed6282c593f2f unverified MIT (permissive)
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks 25 Nov 2021 tolgabirdal/phdimgeneralization/train_analysis.py 84713b36556a5bdd ran · honoured contract MIT (permissive)
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks 25 Nov 2021 tolgabirdal/phdimgeneralization/train_regularize.py 3ca6b94b401f3e65 ran · honoured contract MIT (permissive)
M-FAC: Efficient Matrix-Free Approximations of Second-Order Information 7 Jul 2021 ist-daslab/efcp/optimizers/dense/MFAC.py d0a95782e972077b 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 a1204baecf885804 unverified Apache-2.0 (permissive)
All you need are a few pixels: semantic segmentation with PixelPick 13 Apr 2021 yazdaniamir38/madbal/utils/losses.py c204954f25139fdd unverified MIT (permissive)
Multi-hop Question Generation with Graph Convolutional Network 19 Oct 2020 HLTCHKUST/MulQG/GPG/encoders/graphfusion_encoder.py 890a496ec7f7b9fd ran · our draft was wrong MIT (permissive)
Anomalous diffusion dynamics of learning in deep neural networks 22 Sep 2020 ifgovh/Anomalous-diffusion-dynamics-of-SGD/get_gradient_weight/net_plotter.py 5fa87577ccee9cca unverified MIT (permissive)
FedML: A Research Library and Benchmark for Federated Machine Learning 27 Jul 2020 fedmlai/fedml/python/fedml/utils/model_utils.py 443938d9ecd165f7 unverified Apache-2.0 (permissive)
PraNet: Parallel Reverse Attention Network for Polyp Segmentation 13 Jun 2020 Thehunk1206/PRANet-Polyps-Segmentation/utils/visualize_bce_iou_loss_weigth.py 4c598561b0fdb5cf unverified MIT (permissive)
A Style-Based Generator Architecture for Generative Adversarial Networks 12 Dec 2018 perplexingpegasus/EarthLandscapeGAN/models/stylegan.py c4b2f09d3a63a16d unverified no licence file found · pointer only
Diverse Few-Shot Text Classification with Multiple Metrics 19 May 2018 zhongyuchen/few-shot-text-classification/word2vec.py cc74144ff7cdaf66 ran · honoured contract Apache-2.0 (permissive)
Accelerating Neural Transformer via an Average Attention Network 2 May 2018 bzhangXMU/transformer-aan/code/thumt/models/transformer.py 1b441b0d053c905a unverified BSD-3-Clause (permissive)
Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation 6 Dec 2016 eske/seq2seq/translate/beam_search.py 2ac7677b1e6b3956 unverified Apache-2.0 (permissive)
Pyramid Scene Parsing Network 4 Dec 2016 YininKorea/Contour-aware-equipotential-learning/utils/loss.py efb328cb1558491d unverified MIT (permissive)
The density-matrix renormalization group in the age of matrix product states 2010-08 (from id) jhauschild/lecture_comp_methods/1_monte_carlo/generate_data.py 9bb2315184323d49 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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