Home › Code › get_sampler

get_sampler

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

get_sampler appears in the code Syntology harvested for 20 papers, as 12 distinct code bodies found in 20 places (a place is one code body under one paper). At least one of them ran in 5 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 get_sampler 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 5 of the 12 distinct code bodies named get_sampler; 7 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
4ran
7unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 14 of the 20 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

20 papers shown of 20, newest first; 20 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
Are You Getting What You Pay For? Auditing Model Substitution in LLM APIs 7 Apr 2025 sunblaze-ucb/llm-api-audit/benchmark/lm-evaluation-harness/lm_eval/api/samplers.py d3ee5f783a8a7d3f unverified MIT (permissive)
G$^{2}$SF-MIAD: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection 13 Mar 2025 ctaoaa/G2SF/G2SF_GITHUB/Fusion/fusion_engine_v2.py 163820e4f0bc74bd unverified MIT (permissive)
Compressed Image Generation with Denoising Diffusion Codebook Models 3 Feb 2025 DDCM-2025/ddcm-compressed-image-generation/ddcm/guided_diffusion/gaussian_diffusion.py b910fefa7866252e unverified MIT (permissive)
Solving Inverse Problems via Diffusion Optimal Control 21 Dec 2024 lihenryhfl/diffusion_optimal_control/utils/gaussian_diffusion.py 3c731f22d73494cc unverified MIT (permissive)
Variational Diffusion Posterior Sampling with Midpoint Guidance 13 Oct 2024 yazidjanati/mgps/src/guided_diffusion/gaussian_diffusion.py b910fefa7866252e unverified no licence file found · pointer only
Diffusion State-Guided Projected Gradient for Inverse Problems 4 Oct 2024 LituRout/PSLD/diffusion-posterior-sampling/guided_diffusion/gaussian_diffusion.py b910fefa7866252e unverified no licence file found · pointer only
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection 10 May 2024 PannenetsF/SelectiveFocus/pad/utils/runners/lane_det_quant_trainer.py eb3e7062d67261a5 ran · our draft was wrong no licence file found · pointer only
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction 25 Mar 2024 x1xu/diffusion-plug-and-play/guided_diffusion/gaussian_diffusion.py b910fefa7866252e unverified no licence file found · pointer only
Divide-and-Conquer Posterior Sampling for Denoising Diffusion Priors 18 Mar 2024 badr-moufad/dcps/src/guided_diffusion/gaussian_diffusion.py b910fefa7866252e unverified no licence file found · pointer only
Decoupled Data Consistency with Diffusion Purification for Image Restoration 10 Mar 2024 morefre/decoupled-data-consistency-with-diffusion-purification-for-image-restoration/guided_diffusion/gaussian_diffusion.py b910fefa7866252e unverified no licence file found · pointer only
Diffusion Posterior Proximal Sampling for Image Restoration 25 Feb 2024 74587887/dpps_code/guided_diffusion/gaussian_diffusion.py b910fefa7866252e unverified no licence file found · pointer only
Test-Time Adaptation for Depth Completion 5 Feb 2024 seobbro/TTA-depth-completion/src/tta_main.py c63c98f24eff4ce7 ran no licence file found · pointer only
Guidance with Spherical Gaussian Constraint for Conditional Diffusion 5 Feb 2024 lingxiaoyang2023/dsg2024/Linear_Inverse_Problems/guided_diffusion/gaussian_diffusion.py b910fefa7866252e unverified no licence file found · pointer only
Simplifying Neural Network Training Under Class Imbalance 5 Dec 2023 ravidziv/SimplifyingImbalancedTraining/imbalanced/data.py 3b2896cbbe245a73 ran no licence file found · pointer only
Generalized Schrödinger Bridge Matching 3 Oct 2023 facebookresearch/generalized-schrodinger-bridge-matching/gsbm/dataset.py 6c3287f25897592a ran licence not identified · pointer only
Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolution 1 Sep 2023 claroche-r/fastdiffusionem/guided_diffusion/gaussian_diffusion.py b910fefa7866252e unverified no licence file found · pointer only
Heterogeneous Forgetting Compensation for Class-Incremental Learning 7 Aug 2023 JiahuaDong/HFC/samplers.py c5268f4f4b95766d ran no licence file found · pointer only
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models 18 Apr 2023 ai-forever/kandinskyvideo/kandinsky_video/model/diffusion.py 887b76ef7e5c376f unverified Apache-2.0 (permissive)
Restoration based Generative Models 20 Feb 2023 Jae-Moo/RGM/forward.py 38da6ef76f929991 unverified MIT (permissive)
Fast Sampling of Diffusion Models with Exponential Integrator 29 Apr 2022 qsh-zh/deis/jax_deis/sampler.py e04b6fa68b802212 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