Home › Code › random_rotate

random_rotate

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

random_rotate appears in the code Syntology harvested for 18 papers, as 7 distinct code bodies found in 18 places (a place is one code body under one paper). At least one of them ran in 13 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 random_rotate 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 7 distinct code bodies named random_rotate; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

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

Licence is a property of each copy, so it is counted per place: 5 of the 18 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

18 papers shown of 18, newest first; 18 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 1 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
Resolving superposition in AI for interpretability and cross-modal alignment in patient-neuronal images added by Syntology 2026-06 (from id) jijihihi/Bio_superposition/concept_visulaize/activation_maximization.py 178b3415ebe1a87d unverified no licence file found · pointer only
PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation 12 Jan 2025 PRIS-CV/PGP-SAM/dataset.py 43fa66325ce3cafd ran Apache-2.0 (permissive)
AnyText2: Visual Text Generation and Editing With Customizable Attributes 22 Nov 2024 tyxsspa/anytext2/t3_dataset.py 68f27900e9bca55d unverified Apache-2.0 (permissive)
M$^4$oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of Experts 15 May 2024 jefferyjiang-yf/m4oe/datasets/dataset_synapse.py 43fa66325ce3cafd ran no licence file found · pointer only
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation 11 May 2024 sldgroup/emcad/utils/dataset_ACDC.py 43fa66325ce3cafd ran no licence file found · pointer only
Cross-Modal Conditioned Reconstruction for Language-guided Medical Image Segmentation 3 Apr 2024 shashankhuang/reclmis/Load_Dataset.py 43fa66325ce3cafd ran no licence file found · pointer only
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding 27 Mar 2024 cccccczh404/h-sam/datasets/dataset_synapse.py 43fa66325ce3cafd ran MIT (permissive)
VM-UNet: Vision Mamba UNet for Medical Image Segmentation 4 Feb 2024 jcruan519/vm-unet/datasets/dataset.py 43fa66325ce3cafd ran Apache-2.0 (permissive)
VMamba: Visual State Space Model 18 Jan 2024 zs1314/skinmamba/mydatasets/dataset.py 43fa66325ce3cafd ran Apache-2.0 (permissive)
Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation 8 Jan 2024 super-tadory/primgeoseg/data_generation/mk_data.py 32a6d6a5383b0ce9 ran MIT (permissive)
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling 3 Nov 2023 harvard-ophthalmology-ai-lab/fairseg/TransUNet/datasets/dataset_fairseg.py 43fa66325ce3cafd ran no licence file found · pointer only
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation 16 Sep 2023 cchen-cc/ma-sam/MA-SAM/datasets/dataset.py 6e9c7d00f201c759 ran Apache-2.0 (permissive)
Ladder Fine-tuning approach for SAM integrating complementary network 22 Jun 2023 11yxk/sam-lst/datasets/dataset_synapse.py 43fa66325ce3cafd ran MIT (permissive)
Customized Segment Anything Model for Medical Image Segmentation 26 Apr 2023 hitachinsk/samed/SAMed_h/datasets/dataset_synapse.py 43fa66325ce3cafd ran MIT (permissive)
Memory-aided Contrastive Consensus Learning for Co-salient Object Detection 28 Feb 2023 ZhengPeng7/MCCL/preproc.py 39df97377e06e1de unverified MIT (permissive)
Mixed Transformer U-Net For Medical Image Segmentation 8 Nov 2021 dootmaan/mt-unet/dataset/dataset_ACDC.py 43fa66325ce3cafd ran MIT (permissive)
Wide Activation for Efficient and Accurate Image Super-Resolution 27 Aug 2018 krasserm/super-resolution/data.py 4cb58354ae7610d2 unverified Apache-2.0 (permissive)
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks 25 Feb 2016 krasserm/wdsr/data.py 4cb58354ae7610d2 unverified Apache-2.0 (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