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bytes_feature

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

bytes_feature appears in the code Syntology harvested for 12 papers, as 5 distinct code bodies found in 12 places (a place is one code body under one paper). At least one of them ran in 0 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 bytes_feature 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 0 of the 5 distinct code bodies named bytes_feature; 5 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
0ran
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 0 of the 12 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

12 papers shown of 12, newest first; 12 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. 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
MERLOT: Multimodal Neural Script Knowledge Models 4 Jun 2021 rowanz/merlot/utils/data_utils.py d682a9593710857e unverified MIT (permissive)
Uncertainty Estimation in One-Stage Object Detection 24 May 2019 flkraus/bayesian-yolov3/create_tf_records_citypersons.py d682a9593710857e unverified MIT (permissive)
Objects as Points 16 Apr 2019 Stick-To/CenterNet-tensorflow/utils/tfrecord_imagenet_utils.py 0f43310d75bd2e2b unverified MIT (permissive)
Exploring Randomly Wired Neural Networks for Image Recognition 2 Apr 2019 swdsld/RandWire_tensorflow/dataset/dataset_generator.py d682a9593710857e unverified MIT (permissive)
Deep Cosine Metric Learning for Person Re-Identification 2 Dec 2018 ace19-dev/mvcnn-tf/dataset_tools/dataset_util.py d682a9593710857e unverified Apache-2.0 (permissive)
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes 28 Mar 2018 Prinsphield/DNA-GAN/create_tfrecords.py d682a9593710857e unverified MIT (permissive)
Towards End-to-End Lane Detection: an Instance Segmentation Approach 15 Feb 2018 AbangLZU/lanenet-lane-detection-py2/data_provider/tf_io_pipline_tools.py b69809ec726c0388 unverified Apache-2.0 (permissive)
A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering 23 Nov 2016 totalgood/viddesc/src/viddesc/preprocess.py 9e6c2c92eee0a29e unverified MIT (permissive)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network 16 Sep 2016 HighVoltageRocknRoll/sr/datasets/prepare_dataset.py d682a9593710857e unverified MIT (permissive)
Densely Connected Convolutional Networks 25 Aug 2016 pudae/tensorflow-densenet/datasets/dataset_utils.py 9362d2135d7c4e5d unverified Apache-2.0 (permissive)
Instance Normalization: The Missing Ingredient for Fast Stylization 27 Jul 2016 Net-Mist/style-transfer-tf2/src/tfrecord.py d682a9593710857e unverified MIT (permissive)
Very Deep Convolutional Networks for Large-Scale Image Recognition 4 Sep 2014 mjoannou/audiovisual-moments-in-time/feature_extractor/extract_features.py d682a9593710857e unverified CC0-1.0 (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