Home › Code › init_experiment

init_experiment

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

init_experiment appears in the code Syntology harvested for 9 papers, as 8 distinct code bodies found in 9 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 init_experiment 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 8 distinct code bodies named init_experiment; 8 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
8unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 0 of the 9 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

9 papers shown of 9, newest first; 9 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; 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
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery 2 Apr 2025 mashijie1028/protogcd/my_utils/general_utils.py 3c5ee964462a01ff unverified MIT (permissive)
Fully-inductive Node Classification on Arbitrary Graphs 30 May 2024 deepgraphlearning/graphany/graphany/utils/experiment.py 48759ff44d6d216b unverified MIT (permissive)
Efficient Adversarial Training in LLMs with Continuous Attacks 24 May 2024 sophie-xhonneux/continuous-advtrain/src/database_handling.py 61ad493f36ea49b1 unverified MIT (permissive)
Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery 15 Mar 2024 enguangw/get/util/general_utils.py 39511f9d47e3ddc7 unverified MIT (permissive)
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? 12 Oct 2021 sgvaze/osr_closed_set_all_you_need/utils/utils.py 7767f8e34fb9f60c unverified MIT (permissive)
Understanding the Role of Training Regimes in Continual Learning 12 Jun 2020 imirzadeh/stable-continual-learning/stable_sgd/utils.py adff890682647c1e unverified MIT (permissive)
Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling 24 Apr 2020 zliucr/coach/src/utils.py d8508a4d683312a6 unverified MIT (permissive)
Neural NILM: Deep Neural Networks Applied to Energy Disaggregation 23 Jul 2015 JackKelly/neuralnilm_prototype/neuralnilm/experiment.py baae6d0b0087030c unverified MIT (permissive)
arXiv:Wang_GET_Unlocking_the_Multi-modal_Potential_of_CLIP_for_Generalized_Category_CVPR_2025_paper enguangW/GET/util/general_utils.py 39511f9d47e3ddc7 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