Home › Code › squash

squash

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

squash appears in the code Syntology harvested for 30 papers, as 30 distinct code bodies found in 46 places (a place is one code body under one paper). At least one of them ran in 17 of the papers; 9 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 squash 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 10 of the 30 distinct code bodies named squash; 20 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
9ran · our draft was wrong
0ran · fixture could not drive it
1ran
20unverified
9fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 46 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; 46 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; 2 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
FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning 29 Aug 2024 lihenglin/bridge_training_code/data_processing/bridgedata_raw_to_numpy.py 2b78c78cefa5c620 unverified MIT (permissive)
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning 23 Dec 2023 bramgrooten/mask-distractions/src/algorithms/modules.py 121cb336a1e1278a ran fingerprinted MIT (permissive)
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks 7 Nov 2023 HKUDS/GPT-ST/model/Pretrain_model/GPTST.py c0581450b12d51cb ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks 7 Nov 2023 identical code first harvested elsewhere 89d981e0b618190e ran · our draft was wrong fingerprinted licence of this copy not recorded
BridgeData V2: A Dataset for Robot Learning at Scale 24 Aug 2023 rail-berkeley/BridgeData-V2/data_processing/bridgedata_raw_to_numpy.py 2b78c78cefa5c620 unverified MIT (permissive)
Visual Reinforcement Learning with Self-Supervised 3D Representations 13 Oct 2022 YanjieZe/rl3d/src/algorithms/modules.py 121cb336a1e1278a ran fingerprinted MIT (permissive)
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? 10 Jun 2022 LostXine/elo-sac/elo_sac.py e4f442d1770eacd1 ran · our draft was wrong fingerprinted MIT (permissive)
Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots 23 Mar 2022 yufengyuan/ur5_async_rl/models.py e4f442d1770eacd1 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes 19 Jan 2022 brown-ivl/ConDor/ConDor/network_utils/activations.py 6ee731af0229a9ba unverified MIT (permissive)
Photometric Redshifts from SDSS Images with an Interpretable Deep Capsule Network 2021-12 (from id) biprateep/encapZulate-1/src/encapzulate/base/capsulelayers.py ae823ae127199b54 unverified MIT (permissive)
Photometric Redshifts from SDSS Images with an Interpretable Deep Capsule Network 2021-12 (from id) biprateep/encapZulate-1/src/encapzulate/base/deepCapsLayers.py 7c3da8b78efbfce9 unverified MIT (permissive)
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation 1 Jul 2021 nicklashansen/dmcontrol-generalization-benchmark/src/algorithms/modules.py 121cb336a1e1278a ran fingerprinted MIT (permissive)
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation 1 Jul 2021 nicklashansen/svea-vit/src/algorithms/modules.py adedb876e87c2947 unverified MIT (permissive)
DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck 26 Feb 2021 bu-depend-lab/dribo/DRIBO/DRIBO_sac.py e4f442d1770eacd1 ran · our draft was wrong fingerprinted MIT (permissive)
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters 20 Oct 2020 IMPLabUniPr/UniParma-at-semeval-2021-task-5/modeling/layer_ae.py 5abcd8c6705f2368 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
D2RL: Deep Dense Architectures in Reinforcement Learning 19 Oct 2020 pairlab/d2rl/curl/curl_sac.py e4f442d1770eacd1 ran · our draft was wrong fingerprinted MIT (permissive)
Masked Contrastive Representation Learning for Reinforcement Learning 15 Oct 2020 teslacool/m-curl/curl_sac.py e4f442d1770eacd1 ran · our draft was wrong fingerprinted no licence file found · pointer only
DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control 9 Sep 2020 vmartinezalvarez/DyNODE/networks.py dc3a4c7a6f7a5ad4 unverified MIT (permissive)
NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks 19 Aug 2020 ehw-fit/nascaps/layers/CapsLayer.py 521985ebd5591503 unverified MIT (permissive)
NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks 19 Aug 2020 ehw-fit/nascaps/layers/CapsuleLayers.py be9c101ac2975d5c unverified MIT (permissive)
Self-Supervised Policy Adaptation during Deployment 8 Jul 2020 identical code first harvested elsewhere e4f442d1770eacd1 ran · our draft was wrong fingerprinted licence of this copy not recorded
CURL: Contrastive Unsupervised Representations for Reinforcement Learning 8 Apr 2020 MishaLaskin/curl/curl_sac.py e4f442d1770eacd1 ran · our draft was wrong fingerprinted MIT (permissive)
A Re-evaluation of Knowledge Graph Completion Methods 10 Nov 2019 svjan5/kg-reeval/CapsE/capsuleLayer.py ad05325f767d6062 unverified Apache-2.0 (permissive)
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images 2 Oct 2019 denisyarats/pytorch_sac_ae/sac_ae.py e4f442d1770eacd1 ran · our draft was wrong fingerprinted MIT (permissive)
DeepCaps: Going Deeper with Capsule Networks 21 Apr 2019 HopefulRational/DeepCaps-PyTorch/deepcaps.py 4ac5c90dc72f57f2 ran · our draft was wrong fingerprinted no licence file found · pointer only
DeepCaps: Going Deeper with Capsule Networks 21 Apr 2019 mfarhadi98/Use-Capsule-Networks-for-kddcup/capslayers.py 7c3da8b78efbfce9 unverified MIT (permissive)
DeepCaps: Going Deeper with Capsule Networks 21 Apr 2019 Ugenteraan/Deep-CapsNet/model.py d3b03a5a3ef29c68 unverified MIT (permissive)
CornerNet-Lite: Efficient Keypoint Based Object Detection 18 Apr 2019 Arno3165229/CornerNet_Traffic_Light/capsulelayers.py 14c8e8b4bfa1bf08 unverified BSD-3-Clause (permissive)
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC) 9 Feb 2019 Woodman718/FixCaps/Module/model410.py b4eecff210748e3b unverified MIT (permissive)
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization 13 Aug 2018 daiquocnguyen/CapsE/capsuleLayer.py 521985ebd5591503 unverified Apache-2.0 (permissive)
Neural Network Encapsulation 11 Aug 2018 hli2020/nn_capsulation/layers/cap_layer.py ac7650b0121cd6c9 ran · our draft was wrong no licence file found · pointer only
Effects of Degradations on Deep Neural Network Architectures 26 Jul 2018 prasunroy/cnn-on-degraded-images/libs/CapsuleNetwork.py 6051faed718b2c87 unverified MIT (permissive)
Dynamic Routing Between Capsules 26 Oct 2017 identical code first harvested elsewhere e8e375ca46107111 ran · our draft was wrong fingerprinted licence of this copy not recorded
Dynamic Routing Between Capsules 26 Oct 2017 ecstayalive/capsule_nn/functional.py 43a28458e2019a51 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
Dynamic Routing Between Capsules 26 Oct 2017 hli2020/nn_encapsulation/layers/cap_layer.py ac7650b0121cd6c9 ran · our draft was wrong no licence file found · pointer only
Dynamic Routing Between Capsules 26 Oct 2017 danielhavir/capsule-network/capsules.py 36782ecd204f05d4 ran · our draft was wrong fingerprinted MIT (permissive)
Dynamic Routing Between Capsules 26 Oct 2017 Riroaki/CapsNet/capsnet.py 89d981e0b618190e ran · our draft was wrong fingerprinted MIT (permissive)
Dynamic Routing Between Capsules 26 Oct 2017 adambielski/capsnet-pytorch/net.py 5abcd8c6705f2368 ran · our draft was wrong fingerprinted BSD-3-Clause (permissive)
Dynamic Routing Between Capsules 26 Oct 2017 Egesabanci/capsuleNetworks/src/capsule_networks.py fed6154c45168494 unverified MIT (permissive)
Dynamic Routing Between Capsules 26 Oct 2017 XifengGuo/CapsNet-Keras/capsulelayers.py bc53226908b5d193 unverified MIT (permissive)
Dynamic Routing Between Capsules 26 Oct 2017 ameliajimenez/capsule-networks-medical-data-challenges/networks/capsnet.py 42ce6a693b03e2f2 unverified MIT (permissive)
Dynamic Routing Between Capsules 26 Oct 2017 ethanleet/CapsNet/tools.py e6c4c09caf295822 unverified MIT (permissive)
Dynamic Routing Between Capsules 26 Oct 2017 lauromoraes/capsnet-promoter/capsulelayers.py d1e743564e5d4d8c unverified MIT (permissive)
Generative Adversarial Networks 10 Jun 2014 DanielLongo/CapsGAN/CapsDiscriminator.py e8e375ca46107111 ran · our draft was wrong fingerprinted no licence file found · pointer only
arXiv:aaai_29726 shesshan/CEIB/model_utils.py 90f82cd330bf4777 unverified MIT (permissive)
arXiv:aaai_17268 uta-smile/HGCN/layers.py ece1eb8ba21cc8ff 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