{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/code/image-preprocess","entry":"image_preprocess","source":"Syntology graph, per-sample; not an archive number","read_at":"2026-09-24T18:15:14+00:00","claim":"Names are grouped by exact entry-name string. Same-named routines are NOT asserted to be equivalent; 'ran' means executed on a synthesized fixture, not correctness. n_samples_ran = sum of by_status over every status except 'unverified' (ran_draft_wrong and ran_fixture are failures of Syntology's instrument, not of the code); n_papers_ran = papers with at least one such sample.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"},"n_papers":7,"n_papers_ran":2,"units":"n_samples, n_samples_ran, n_samples_fingerprinted and by_status count distinct code bodies (code_sha256); n_places and n_places_pointer_only count places, one per (paper, code body) pair, which is also the unit of the samples list","n_samples":8,"n_samples_ran":2,"n_samples_fingerprinted":0,"n_places":8,"n_places_pointer_only":1,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":2,"unverified":6},"syntology":{"atlas_url":null,"mcp":null,"mcp_per_sample":{"tool":"get_code","arguments_in":"samples[].mcp_get_code"},"developers":"https://syntology.ai/developers"},"samples":[{"arxiv_id":"2506.18434","paper":null,"title":"arXiv:2506.18434","date":null,"month_inferred_from_arxiv_id":"2025-06","title_source":null,"repo":"fruffini/PEFT_Prognosis","path":"src/utils/utils_datasets.py","file_url":"https://github.com/fruffini/PEFT_Prognosis/blob/HEAD/src/utils/utils_datasets.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"58194b32a79c3cb1","mcp_get_code":{"code_sha256":"58194b32a79c3cb1"}},{"arxiv_id":"2501.05901","paper":"/paper/valley2-exploring-multimodal-models-with","title":"Valley2: Exploring Multimodal Models with Scalable Vision-Language Design","date":"2025-01-10","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"bytedance/valley","path":"valley/util/decode_img.py","file_url":"https://github.com/bytedance/valley/blob/HEAD/valley/util/decode_img.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"54802dd67899555a","mcp_get_code":{"code_sha256":"54802dd67899555a"}},{"arxiv_id":"2309.00903","paper":"/paper/a-3d-explainability-framework-to-uncover","title":"An explainable three dimension framework to uncover learning patterns: A unified look in variable sulci recognition","date":"2023-09-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ece7048/3dsulci","path":"3Dsulci/s3D/pca_gcam.py","file_url":"https://github.com/ece7048/3dsulci/blob/HEAD/3Dsulci/s3D/pca_gcam.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"85e4ba81e2679b97","mcp_get_code":{"code_sha256":"85e4ba81e2679b97"}},{"arxiv_id":"2308.07313","paper":"/paper/group-pose-a-simple-baseline-for-end-to-end","title":"Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation","date":"2023-08-14","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Michel-liu/GroupPose-Paddle","path":"deploy/auto_compression/paddle_inference_eval.py","file_url":"https://github.com/Michel-liu/GroupPose-Paddle/blob/HEAD/deploy/auto_compression/paddle_inference_eval.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"145a8b9a0a3f9d79","mcp_get_code":{"code_sha256":"145a8b9a0a3f9d79"}},{"arxiv_id":"2305.10722","paper":"/paper/discriminative-diffusion-models-as-few-shot","title":"Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners","date":"2023-05-18","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"eric-ai-lab/dsd","path":"playground.py","file_url":"https://github.com/eric-ai-lab/dsd/blob/HEAD/playground.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"3cacd5275cbd348c","mcp_get_code":{"code_sha256":"3cacd5275cbd348c"}},{"arxiv_id":"2305.10722","paper":"/paper/discriminative-diffusion-models-as-few-shot","title":"Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners","date":"2023-05-18","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"eric-ai-lab/dsd","path":"utils/process_dataset.py","file_url":"https://github.com/eric-ai-lab/dsd/blob/HEAD/utils/process_dataset.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"831f5bc2bdeba8c9","mcp_get_code":{"code_sha256":"831f5bc2bdeba8c9"}},{"arxiv_id":"2302.01952","paper":"/paper/on-a-continuous-time-model-of-gradient","title":"On a continuous time model of gradient descent dynamics and instability in deep learning","date":"2023-02-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"deepmind/dd_two_player_games","path":"dd_two_player_games/data_utils.py","file_url":"https://github.com/deepmind/dd_two_player_games/blob/HEAD/dd_two_player_games/data_utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"801251546afebbdc","mcp_get_code":{"code_sha256":"801251546afebbdc"}},{"arxiv_id":"1607.08022","paper":"/paper/instance-normalization-the-missing-ingredient","title":"Instance Normalization: The Missing Ingredient for Fast Stylization","date":"2016-07-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Net-Mist/style-transfer-tf2","path":"src/inference.py","file_url":"https://github.com/Net-Mist/style-transfer-tf2/blob/HEAD/src/inference.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"4ad5af47aa088209","mcp_get_code":{"code_sha256":"4ad5af47aa088209"}}]}