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load_weights

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

load_weights appears in the code Syntology harvested for 35 papers, as 34 distinct code bodies found in 38 places (a place is one code body under one paper). At least one of them ran in 4 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 load_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 4 of the 34 distinct code bodies named load_weights; 30 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
3ran
30unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 9 of the 38 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

35 papers shown of 35, newest first; 38 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; 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
Tadpole: Autoencoders as Foundation Models for 3D PDEs with Online Learning added by Syntology 2026-05 (from id) tum-pbs/tadpole/tadpole/utils.py 7e982e2d566fccf1 ran Apache-2.0 (permissive)
SleepMaMi: A Universal Sleep Foundation Model for Integrating Macro-and Micro-structures added by Syntology 2026-02 (from id) keondopark/SleepMaMi/inference.py 7f46d13104e1dc8e unverified no licence file found · pointer only
Multi-Resolution Alignment for Voxel Sparsity in Camera-Based 3D Semantic Scene Completion added by Syntology 2026-02 (from id) PKU-ICST-MIPL/MRA/preprocess/AdaBins/model_io.py 48c7d388933451e2 unverified no licence file found · pointer only
arXiv:2507.05158 2025-07 (from id) chili-lab/InfoSteer/weight_projection/clustering.py e7b3e9b2052c57c9 unverified MIT (permissive)
DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra 13 Feb 2025 coleygroup/DiffMS/src/spec2mol_main.py da1d4f7563efdef8 ran · our draft was wrong MIT (permissive)
LLM-Neo: Parameter Efficient Knowledge Distillation for Large Language Models 11 Nov 2024 wutaiqiang/shadow-ft/src/shadow/apply_diff.py d7d5006bffa278f0 unverified Apache-2.0 (permissive)
SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints 2 May 2024 mirunacrt/synflownet/src/synflownet/models/bengio2021flow.py 687893e4cbfb90a7 unverified MIT (permissive)
Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling 5 Mar 2024 jimmylihui/genbench/huggingface.py 36671e7e4ba9ec81 unverified Apache-2.0 (permissive)
A Language Model's Guide Through Latent Space 22 Feb 2024 dvruette/concept-guidance/concept_guidance/patching.py e96d4bb13179f09a ran MIT (permissive)
Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation 19 Dec 2023 lsan2401/rmsin/lib/_utils.py de8700e1e2ede257 ran no licence file found · pointer only
Camera-based 3D Semantic Scene Completion with Sparse Guidance Network 10 Dec 2023 jieqianyu/sgn/preprocess/AdaBins/model_io.py 48c7d388933451e2 unverified no licence file found · pointer only
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions 23 Oct 2023 shariqfarooq123/AdaBins/model_io.py 48c7d388933451e2 unverified GPL-3.0 (copyleft) · pointer only
TacoGFN: Target-conditioned GFlowNet for Structure-based Drug Design 5 Oct 2023 tsa87/TacoGFN-SBDD/src/tacogfn/models/bengio2021flow.py 23e26258a406f7d5 unverified MIT (permissive)
RFENet: Towards Reciprocal Feature Evolution for Glass Segmentation 12 Jul 2023 vankouf/rfenet/optimizer.py aa06af752496156f unverified no licence file found · pointer only
Rethinking the Backward Propagation for Adversarial Transferability 22 Jun 2023 Trustworthy-AI-Group/RPA/models/adv_inception_v3.py 3db00532c993361c unverified MIT (permissive)
Exploring Self-supervised Logic-enhanced Training for Large Language Models 23 May 2023 sparkjiao/logicllm/convert2hf.py 61b6f067e8e63b66 unverified MIT (permissive)
Diffusion Models for Imperceptible and Transferable Adversarial Attack 14 May 2023 windvchen/diffattack/torch_nets/tf2torch_adv_inception_v3.py 3db00532c993361c unverified Apache-2.0 (permissive)
SCONE: Surface Coverage Optimization in Unknown Environments by Volumetric Integration 22 Aug 2022 Anttwo/SCONE/SCONE/utils.py 747cb2b2242635a2 unverified MIT (permissive)
Revisiting the Critical Factors of Augmentation-Invariant Representation Learning 30 Jul 2022 megvii-research/revisitairl/linear_eval.py 8dc744ee7b17884d unverified Apache-2.0 (permissive)
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems 18 Jun 2022 giannisdaras/ilo/ilo_biggan.py d71e48161b7684b4 unverified no licence file found · pointer only
A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation 8 Mar 2022 edwardguil/MMTL/s3d.py 7d93162312ea626f unverified MIT (permissive)
Safe Driving via Expert Guided Policy Optimization 13 Oct 2021 decisionforce/EGPO/egpo_utils/common.py ba9866d5ca98b347 unverified MIT (permissive)
Robust fine-tuning of zero-shot models 4 Sep 2021 mlfoundations/model-soups/learned_bylayer.py 52e1473acbb0e1fb unverified MIT (permissive)
On Sample Based Explanation Methods for NLP:Efficiency, Faithfulness, and Semantic Evaluation 9 Jun 2021 IBM/TracInF/code/pif/influence_functions/hvp_grad.py 046062e4ea7ca7df unverified Apache-2.0 (permissive)
TransVG: End-to-End Visual Grounding with Transformers 17 Apr 2021 nku-shengzheliu/Pytorch-TransVG/models/model.py 395306b13bd68afc unverified MIT (permissive)
Unbalanced Sobolev Descent 29 Sep 2020 ibm/usd/datasets.py 82adb6728cac0e04 unverified Apache-2.0 (permissive)
On the training dynamics of deep networks with $L_2$ regularization 15 Jun 2020 google/autol2/jaxwrn_utils.py 08ea521bdd2e3427 unverified Apache-2.0 (permissive)
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation 30 Mar 2020 XingangPan/deep-generative-prior/utils/biggan_utils.py d8685300387a8464 unverified MIT (permissive)
RetinaFace: Single-stage Dense Face Localisation in the Wild 2 May 2019 StanislasBertrand/RetinaFace-tf2/src/retinafacetf2/networks/network_utils.py 162a2875f05e03d8 unverified MIT (permissive)
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields 18 Dec 2018 daniegr/EfficientPose/models/pytorch/EfficientPoseI.py 3db00532c993361c unverified Apache-2.0 (permissive)
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning 8 Nov 2018 ftramer/ad-versarial/page-based/yolo_v3.py 968725378659c630 unverified MIT (permissive)
Learning Deep Features for One-Class Classification 16 Jan 2018 PINTO0309/Keras-OneClassAnomalyDetection/models/pytorch/weights.py 83f148cdd42d74a0 unverified MIT (permissive)
Real-world Anomaly Detection in Surveillance Videos 12 Jan 2018 WaqasSultani/AnomalyDetectionCVPR2018/Demo_GUI.py de911070910355c4 unverified no licence file found · pointer only
Deeper Depth Prediction with Fully Convolutional Residual Networks 1 Jun 2016 mohsaad/Deeper-Depth-Prediction/pytorch/weights.py d8021ec118e73642 unverified MIT (permissive)
FaceNet: A Unified Embedding for Face Recognition and Clustering 12 Mar 2015 Unturned3/mtcnn/models/inception_resnet_v1.py bd44b73773d6e628 unverified MIT (permissive)
FaceNet: A Unified Embedding for Face Recognition and Clustering 12 Mar 2015 parvatijay2901/FaceNet_FR/facenet_pytorch/models/inception_resnet_v1.py 6f879fe221389e5d unverified MIT (permissive)
FaceNet: A Unified Embedding for Face Recognition and Clustering 12 Mar 2015 Fugu-Lin/facenet_pytorch/models/inception_resnet_v1.py a50b4759e6f81504 unverified MIT (permissive)
FaceNet: A Unified Embedding for Face Recognition and Clustering 12 Mar 2015 mindslab-mwc5697/facenet_upload/facenet_pytorch/models/inception_resnet_v1.py 823487cc0f89be9b unverified no licence file found · pointer only

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