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DDPM

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

DDPM appears in the code Syntology harvested for 15 papers, as 20 distinct code bodies found in 20 places (a place is one code body under one paper). At least one of them ran in 7 of the papers; 3 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 DDPM 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 20 distinct code bodies named DDPM; 10 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
10ran
10unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 8 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

15 papers shown of 15, 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
Maximum Entropy Reinforcement Learning with Diffusion Policy 17 Feb 2025 diffusionyes/maxentdp/jaxrl5/agents/score_matching/max_entropy_learner.py 0533319139439dda ran no licence file found · pointer only
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models 27 May 2024 BlindDPS/blind-dps/guided_diffusion/gaussian_diffusion.py fd913a588001391e unverified no licence file found · pointer only
CDFormer:When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution 13 May 2024 I2-Multimedia-Lab/CDFormer/model/cdformer.py 7bf826ead30f1aaa unverified MIT (permissive)
Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding 29 Feb 2024 guangyliu/eddpm/Protein/codes/nn/models.py f376daeaa8e94192 ran fingerprinted no licence file found · pointer only
Text Image Inpainting via Global Structure-Guided Diffusion Models 26 Jan 2024 blackprotoss/GSDM/model/model.py ec6180301c84d572 unverified MIT (permissive)
VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models 17 Jan 2024 videocrafter/videocrafter/lvdm/models/ddpm3d.py 21a8fb71de781ce8 unverified licence not identified · pointer only
Multi-scale Diffusion Denoised Smoothing 25 Oct 2023 jh-jeong/smoothing-multiscale/predict_mdds.py dd41358588f96a01 unverified MIT (permissive)
Denoising Diffusion Autoencoders are Unified Self-supervised Learners 17 Mar 2023 FutureXiang/ddae/model/DDPM.py 6cf05b67ae5d93f8 ran fingerprinted no licence file found · pointer only
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models 29 Jan 2023 haoheliu/AudioLDM/audioldm/ldm.py b7521b6c520cc691 unverified licence not identified · pointer only
Diffusion-based Generation, Optimization, and Planning in 3D Scenes 15 Jan 2023 scenediffuser/Scene-Diffuser/models/dm/ddpm.py 8883fb08d6be0bae ran · metamorphic tier: deterministic MIT (permissive)
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning 12 Aug 2022 zzmtsvv/rl_task/diffusion_ql/dql.py 08e51c2d2c41c81f ran fingerprinted no licence file found · pointer only
Classifier-Free Diffusion Guidance 26 Jul 2022 elodiegermani/style-transfer_diffusion/diffusion/c_ddpm.py 0da20a659b48b38f unverified MIT (permissive)
Diffusion-GAN: Training GANs with Diffusion 5 Jun 2022 zhendong-wang/prompt-diffusion/ldm/models/diffusion/ddpm.py af2b53bfe0d458a6 unverified Apache-2.0 (permissive)
Denoising Diffusion Probabilistic Models 19 Jun 2020 YHL04/ddpm/ddpm.py 9e3526b7844286a1 ran MIT (permissive)
Denoising Diffusion Probabilistic Models 19 Jun 2020 maxjcohen/diffusion-bridges/ddpm/model.py af603d69433386c6 ran GPL-3.0 (copyleft) · pointer only
Denoising Diffusion Probabilistic Models 19 Jun 2020 joh-fischer/PlantLDM/model/ddpm/ddpm.py 889d53276e702ee9 ran MIT (permissive)
Denoising Diffusion Probabilistic Models 19 Jun 2020 teapearce/conditional_diffusion_mnist/script.py b98427172a08955f ran MIT (permissive)
Denoising Diffusion Probabilistic Models 19 Jun 2020 vainf/diff-pruning/ldm_exp/ldm/models/diffusion/ddpm.py 2ad71ed8f52e942e unverified Apache-2.0 (permissive)
Denoising Diffusion Probabilistic Models 19 Jun 2020 KiUngSong/Generative-Models/DDPM/DDPM_pytorch.py dcc2f56db7029936 unverified MIT (permissive)
Deep Unsupervised Learning using Nonequilibrium Thermodynamics 12 Mar 2015 kpandey008/DiffuseVAE/main/models/diffusion/ddpm.py 6621cc6096241569 ran · metamorphic tier: deterministic 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