Home › Code › compute_n_params

compute_n_params

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

compute_n_params appears in the code Syntology harvested for 30 papers, as 1 distinct code body found in 30 places (a place is one code body under one paper). At least one of them ran in 30 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 compute_n_params 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 1 of the 1 distinct code body named compute_n_params; 0 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
0ran
0unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 13 of the 30 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

30 papers shown of 30, newest first; 30 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; 2 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
Unleashing the Potential of Consistency Learning for Detecting and Grounding Multi-Modal Media Manipulation 6 Jun 2025 liyih/CSCL/code/MultiModal-DeepFake-main/utils.py ad12a494674d23fb ran · our draft was wrong MIT (permissive)
Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack 4 Nov 2024 jiaxiaojunqaq/sa-aet/utils.py ad12a494674d23fb ran · our draft was wrong MIT (permissive)
Explanation Bottleneck Models 26 Sep 2024 yshinya6/xbm/xbm-llava/utils.py ad12a494674d23fb ran · our draft was wrong no licence file found · pointer only
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness 16 Aug 2024 hfmei/idc/IDC-BPDA/utils.py ad12a494674d23fb ran · our draft was wrong no licence file found · pointer only
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models 8 Jun 2024 ffhibnese/cpgc_vlp_universal_attacks/utils.py ad12a494674d23fb ran · our draft was wrong no licence file found · pointer only
Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective 30 Apr 2024 ellezwq/mmcoa/utils_2.py ad12a494674d23fb ran · our draft was wrong MIT (permissive)
To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO 6 Apr 2024 zhqiu/tempnet/Bimodal_CL/utils.py ad12a494674d23fb ran · our draft was wrong no licence file found · pointer only
Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework 12 Mar 2024 hieuphan33/mavl/Finetuning/classification/utils.py ad12a494674d23fb ran · our draft was wrong no licence file found · pointer only
Can LLMs' Tuning Methods Work in Medical Multimodal Domain? 11 Mar 2024 timmy-chan/miss/utils.py ad12a494674d23fb ran · our draft was wrong no licence file found · pointer only
ToViLaG: Your Visual-Language Generative Model is Also An Evildoer 13 Dec 2023 victorup/ToViLaG/method/BLIP/utils.py ad12a494674d23fb ran · our draft was wrong no licence file found · pointer only
UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification 18 Dec 2023 elfenreigen/unichest/factory/utils.py ad12a494674d23fb ran · our draft was wrong MIT (permissive)
Large Language Models are Good Prompt Learners for Low-Shot Image Classification 7 Dec 2023 zhaohengz/llamp/utils/utils.py ad12a494674d23fb ran · our draft was wrong MIT (permissive)
Synthesize, Diagnose, and Optimize: Towards Fine-Grained Vision-Language Understanding 30 Nov 2023 wjpoom/spec/spec/models/blip_utils/utils.py ad12a494674d23fb ran · our draft was wrong no licence file found · pointer only
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification 27 Oct 2023 kangmintong/DiffAttack/DiffAttack_Score_Based/utils.py ad12a494674d23fb ran · our draft was wrong no licence file found · pointer only
Open-Set Image Tagging with Multi-Grained Text Supervision 23 Oct 2023 xinyu1205/Recognize_Anything-Tag2Text/utils.py ad12a494674d23fb ran · our draft was wrong Apache-2.0 (permissive)
The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models 23 Oct 2023 shin-ee-chen/BLA/evaluation_models/blip2/utils.py ad12a494674d23fb ran · our draft was wrong MIT (permissive)
Detecting and Grounding Multi-Modal Media Manipulation and Beyond 25 Sep 2023 rshaojimmy/multimodal-deepfake/utils.py ad12a494674d23fb ran · our draft was wrong no licence file found · pointer only
Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining? 24 Aug 2023 wangfei-2019/snare/snare/models/utils.py ad12a494674d23fb ran · our draft was wrong no licence file found · pointer only
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models 26 Jul 2023 Zoky-2020/Set-level_Guidance_Attack/utils.py ad12a494674d23fb ran · our draft was wrong MIT (permissive)
eP-ALM: Efficient Perceptual Augmentation of Language Models 20 Mar 2023 mshukor/eP-ALM/utils.py ad12a494674d23fb ran · our draft was wrong MIT (permissive)
Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation 18 Mar 2023 mlii0117/dcl/utils.py ad12a494674d23fb ran · our draft was wrong MIT (permissive)
UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling 13 Feb 2023 rerv/uniadapter/utils.py ad12a494674d23fb ran · our draft was wrong BSD-3-Clause recorded; this copy not marked cleared · pointer only
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video 1 Feb 2023 X-PLUG/mPLUG-2/utils.py ad12a494674d23fb ran · our draft was wrong Apache-2.0 (permissive)
Position-guided Text Prompt for Vision-Language Pre-training 19 Dec 2022 sail-sg/ptp/src/blip_src/utils.py ad12a494674d23fb ran · our draft was wrong Apache-2.0 (permissive)
InternVideo: General Video Foundation Models via Generative and Discriminative Learning 6 Dec 2022 opengvlab/internvideo/Data/InternVid/utils/basic_utils.py ad12a494674d23fb ran · our draft was wrong Apache-2.0 (permissive)
Self-supervised vision-language pretraining for Medical visual question answering 24 Nov 2022 pengfeiliheu/m2i2/utils.py ad12a494674d23fb ran · our draft was wrong MIT (permissive)
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning 17 Nov 2022 jamessealesmith/construct-vl/utils.py ad12a494674d23fb ran · our draft was wrong MIT recorded; this copy not marked cleared · pointer only
Open Vocabulary Object Detection with Pseudo Bounding-Box Labels 18 Nov 2021 salesforce/pb-ovd/ALBEF/utils.py ad12a494674d23fb ran · our draft was wrong BSD-3-Clause (permissive)
arXiv:Zheng_Large_Language_Models_are_Good_Prompt_Learners_for_Low-Shot_Image_CVPR_2024_paper zhaohengz/LLaMP/utils/utils.py ad12a494674d23fb ran · our draft was wrong MIT (permissive)
arXiv:Yang_Beyond_Walking_A_Large-Scale_Image-Text_Benchmark_for_Text-based_Person_Anomaly_ICCV_2025_paper Shuyu-XJTU/CMP/utils.py ad12a494674d23fb ran · our draft was wrong 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