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colorize

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

colorize appears in the code Syntology harvested for 60 papers, as 26 distinct code bodies found in 61 places (a place is one code body under one paper). At least one of them ran in 21 of the papers; 1 of the code bodies carries 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 colorize 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 26 distinct code bodies named colorize; 21 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

21unverified

1fingerprinted

Licence is a property of each copy, so it is counted per place: 16 of the 61 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

60 papers shown of 60, newest first; 61 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, and the graph's for 4 papers added by Syntology; 4 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.

Paper	Date	File	Status Syntology	Licence
Stochastic Minimum-Cost Reach-Avoid Reinforcement Learning added by Syntology	2026-05 (from id)	milanganai/milanganai.github.io/NeurIPS2023/code/utils/logx.py `7e36f1c357c4618d`	ran	no licence file found · pointer only
Plan2Cleanse: Test-Time Backdoor Defense via Monte-Carlo Planning in Deep Reinforcement Learning added by Syntology	2026-05 (from id)	rl-bandits-lab/RL-Backdoor/backdoor_attack/multiagent_competition/fast_failing/train/utils/logx.py `7e36f1c357c4618d`	ran	GPL-3.0 (copyleft) · pointer only
Safe Continual Reinforcement Learning in Non-stationary Environments added by Syntology	2026-04 (from id)	MACS-Research-Lab/safe-crl/code/Safe-Policy-Optimization/safepo/common/logger.py `809acb410efac35d`	unverified	no licence file found · pointer only
SWE-AGI: Benchmarking Specification-Driven Software Construction with MoonBit in the Era of Autonomous Agents added by Syntology	2026-02 (from id)	moonbitlang/SWE-AGI-Eval/claude-opus-4.5/cdcl/try.py `bd08390f95c0fe75`	unverified	Apache-2.0 (permissive)
Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning	11 Dec 2024	Princeton-RL/contrastive-successor-features/dowel/utils.py `68a57588acd1e63a`	unverified	MIT (permissive)
PaliGemma 2: A Family of Versatile VLMs for Transfer	4 Dec 2024	kyutai-labs/moshivis/kyuteye_mlx/kyuteye_mlx/local_web.py `a11e8571b42d5bf8`	unverified	Apache-2.0 (permissive)
Moshi: a speech-text foundation model for real-time dialogue	17 Sep 2024	kyutai-labs/moshi/moshi/moshi/client_utils.py `ebade1c8fb249955`	ran fingerprinted	Apache-2.0 (permissive)
SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds	16 Jul 2024	Cavendish518/SFPNet/util/common_util.py `1dad93b61e98c32e`	ran	licence not identified · pointer only
Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning	6 May 2024	stonet2000/rfcl/rfcl/logger/logger.py `7e36f1c357c4618d`	ran	no licence file found · pointer only
MQE: Unleashing the Power of Interaction with Multi-agent Quadruped Environment	2024-03 (from id)	ziyanx02/multiagent-quadruped-environment/mqe/utils/console.py `ef68ec24f19edb58`	ran · our draft was wrong	no licence file found · pointer only
Language Models Represent Beliefs of Self and Others	28 Feb 2024	walter0807/repbelief/utils.py `4191bb151ff8a860`	unverified	MIT (permissive)
Test-Time Adaptation for Depth Completion	5 Feb 2024	seobbro/TTA-depth-completion/src/log_utils.py `aecb3e96d842936c`	unverified	no licence file found · pointer only
Off-Policy Primal-Dual Safe Reinforcement Learning	26 Jan 2024	AlgTUDelft/WCSAC/wc_sac/utils/logx.py `7e36f1c357c4618d`	ran	MIT (permissive)
Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model	19 Dec 2023	ecnuljzhang/brush-your-text/controlnet_util/Textgen/colorize.py `490ff991bd344d43`	unverified	no licence file found · pointer only
NDDepth: Normal-Distance Assisted Monocular Depth Estimation and Completion	13 Nov 2023	ShuweiShao/NDDepth/Estimation/nddepth/utils.py `9999af2cf9c1b6bb`	unverified	MIT (permissive)
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions	23 Oct 2023	cleinc/bts/pytorch/bts_main.py `0b77f8779fe02453`	unverified	GPL-3.0 (copyleft) · pointer only
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions	23 Oct 2023	shariqfarooq123/AdaBins/utils.py `81e397340e88304b`	unverified	GPL-3.0 (copyleft) · pointer only
Multi-stream Cell Segmentation with Low-level Cues for Multi-modality Images	22 Oct 2023	lhaof/cellseg/overlay.py `81569f8092472c82`	ran	AGPL-3.0 (copyleft) · pointer only
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction	13 Oct 2023	seohongpark/METRA/dowel/utils.py `68a57588acd1e63a`	unverified	MIT (permissive)
IEBins: Iterative Elastic Bins for Monocular Depth Estimation	25 Sep 2023	ShuweiShao/IEBins/iebins/utils.py `9999af2cf9c1b6bb`	unverified	MIT (permissive)
DReg-NeRF: Deep Registration for Neural Radiance Fields	18 Aug 2023	aibluefisher/dreg-nerf/utils.py `0b5806f80cbe1674`	unverified	no licence file found · pointer only
Self-Verification Improves Few-Shot Clinical Information Extraction	30 May 2023	microsoft/clinical-self-verification/clin/viz.py `b9d6d8e6bcc7fcc0`	unverified	MIT (permissive)
Bayesian Optimization Meets Self-Distillation	25 Apr 2023	sooperset/boss/utils/visualize.py `c87e7665fde6cdfc`	unverified	MIT (permissive)
Spherical Transformer for LiDAR-based 3D Recognition	22 Mar 2023	dvlab-research/sphereformer/util/common_util.py `1dad93b61e98c32e`	ran	Apache-2.0 (permissive)
URCDC-Depth: Uncertainty Rectified Cross-Distillation with CutFlip for Monocular Depth Estimation	16 Feb 2023	shuweishao/urcdc-depth/urcdc/utils.py `9999af2cf9c1b6bb`	unverified	MIT (permissive)
Controllability-Aware Unsupervised Skill Discovery	10 Feb 2023	seohongpark/csd-locomotion/dowel/utils.py `68a57588acd1e63a`	unverified	MIT (permissive)
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints	2 Feb 2023	openai/safety-starter-agents/safe_rl/utils/logx.py `7e36f1c357c4618d`	ran	MIT (permissive)
Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention	17 Oct 2022	ashutosh1807/pixelformer/pixelformer/utils.py `9999af2cf9c1b6bb`	unverified	MIT recorded; this copy not marked cleared · pointer only
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm	14 Oct 2022	akjayant/mbppol/src/utils/logx.py `7e36f1c357c4618d`	ran	MIT (permissive)
Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation	13 Oct 2022	LIUYUANWEI98/IPMT/util/util.py `1dad93b61e98c32e`	ran	MIT (permissive)
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning	11 Oct 2022	jaylee0301/dhrl_official/DHRL/rl/algo/dhrl.py `ef68ec24f19edb58`	ran · our draft was wrong	MIT (permissive)
Depth Map Decomposition for Monocular Depth Estimation	23 Aug 2022	jyjunmcl/Depth-Map-Decomposition/utils.py `81e397340e88304b`	unverified	MIT (permissive)
Visual Pressure Estimation and Control for Soft Robotic Grippers	2022-04 (from id)	healthcare-robotics/vpec/recording/util.py `8cc7a485cb9ebaa3`	unverified	MIT (permissive)
Stratified Transformer for 3D Point Cloud Segmentation	28 Mar 2022	dvlab-research/stratified-transformer/util/common_util.py `1dad93b61e98c32e`	ran	MIT (permissive)
NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation	3 Mar 2022	aliyun/NeWCRFs/newcrfs/utils.py `9999af2cf9c1b6bb`	unverified	MIT recorded; this copy not marked cleared · pointer only
Lipschitz-constrained Unsupervised Skill Discovery	2 Feb 2022	seohongpark/lsd/dowel/utils.py `68a57588acd1e63a`	unverified	MIT (permissive)
Few-Shot Segmentation with Global and Local Contrastive Learning	11 Aug 2021	liuweide01/GQNet-Few-shot-segmentation/util/util.py `1dad93b61e98c32e`	ran	MIT (permissive)
Safe Reinforcement Learning Using Advantage-Based Intervention	16 Jun 2021	nolanwagener/safe_rl/safe_rl/utils/logx.py `7e36f1c357c4618d`	ran	MIT (permissive)
Multi-Agent Trust Region Policy Optimization	15 Oct 2020	hepengli/matrpo/matrpo/common/console_util.py `2d39cd1166fa0004`	unverified	MIT (permissive)
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation	17 Aug 2020	FilippoAleotti/Reversing/mono/tools.py `76dcde6460136af6`	unverified	Apache-2.0 (permissive)
Self-Imitation Learning via Generalized Lower Bound Q-learning	12 Jun 2020	openai/spinningup/spinup/utils/logx.py `7e36f1c357c4618d`	ran	MIT (permissive)
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision	16 Apr 2020	feipan664/IntraDA/entropy_rank/entropy.py `fd2101a3c93f7216`	unverified	MIT (permissive)
Harnessing Structures for Value-Based Planning and Reinforcement Learning	26 Sep 2019	YyzHarry/SV-RL/sv_rl/logz.py `ef68ec24f19edb58`	ran · our draft was wrong	MIT (permissive)
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise	12 Aug 2019	gbup-group/IEBN/utils/visualize.py `c87e7665fde6cdfc`	unverified	MIT (permissive)
On the Variance of the Adaptive Learning Rate and Beyond	8 Aug 2019	LiyuanLucasLiu/RAdam/cifar_imagenet/utils/visualize.py `c87e7665fde6cdfc`	unverified	Apache-2.0 (permissive)
Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization	9 Jul 2019	kenjikawaguchi/qSGD/cifar10_WideResNet/utils/visualize.py `c87e7665fde6cdfc`	unverified	MIT (permissive)
Deep Gamblers: Learning to Abstain with Portfolio Theory	29 Jun 2019	Z-T-WANG/NIPS2019DeepGamblers/utils/visualize.py `c87e7665fde6cdfc`	unverified	MIT (permissive)
DIANet: Dense-and-Implicit Attention Network	25 May 2019	gbup-group/DIANet/utils/visualize.py `c87e7665fde6cdfc`	unverified	MIT (permissive)
Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning	7 May 2019	seungyulhan/disc/baselines/common/console_util.py `2d39cd1166fa0004`	unverified	MIT recorded; this copy not marked cleared · pointer only
Searching for MobileNetV3	6 May 2019	ekzhang/fastseg/fastseg/image/colorize.py `5528da7e34b0c499`	unverified	MIT (permissive)
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach	11 Apr 2019	human-analysis/MaxEnt-ARL/utils/visualize.py `c87e7665fde6cdfc`	unverified	MIT (permissive)
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation	25 Dec 2018	machine-perception-robotics-group/attention_branch_network/utils/visualize.py `c87e7665fde6cdfc`	unverified	MIT (permissive)
Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization	14 Nov 2018	LeungSamWai/Drop-Activation/utils/visualize.py `c87e7665fde6cdfc`	unverified	MIT (permissive)
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks	30 Sep 2018	kenny-co/procedural-advml/utils_attack.py `d77735ff9e1b1806`	unverified	MIT (permissive)
Knowledge Distillation by On-the-Fly Native Ensemble	12 Jun 2018	Lan1991Xu/ONE_NeurIPS2018/utils/visualize.py `c87e7665fde6cdfc`	unverified	MIT (permissive)
Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks	21 May 2018	hyeonseob-nam/Batch-Instance-Normalization/utils/visualize.py `c87e7665fde6cdfc`	unverified	MIT (permissive)
Addressing Function Approximation Error in Actor-Critic Methods	26 Feb 2018	robintyh1/icml2021-pengqlambda/spinup/utils/logx.py `7e36f1c357c4618d`	ran	MIT recorded; this copy not marked cleared · pointer only
arXiv:ijcai2023_0417		gxywy/rl-plotter/rl_plotter/log_utils.py `7e36f1c357c4618d`	ran	MIT (permissive)
arXiv:aaai_35251		Teddy298/continualworld-ppo/continualworld/utils_ppo/logx.py `7e36f1c357c4618d`	ran	MIT (permissive)
arXiv:Mao_Denoising_Point_Clouds_in_Latent_Space_via_Graph_Convolution_and_CVPR_2024_paper		yanbiao1/PD-LTS/eval/eval3.py `9baf81fb1fce883e`	unverified	MIT (permissive)
arXiv:03451		zhongshsh/ASR/utils/visualize.py `e8516cd12ae39ff7`	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