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rmse

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

rmse appears in the code Syntology harvested for 44 papers, as 37 distinct code bodies found in 44 places (a place is one code body under one paper). At least one of them ran in 12 of the papers; 9 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 rmse 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 37 distinct code bodies named rmse; 27 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
1ran · violated contract
2ran · our draft was wrong
1ran · fixture could not drive it
6ran
27unverified
9fingerprinted

Licence is a property of each copy, so it is counted per place: 12 of the 44 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

44 papers shown of 44, newest first; 44 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 12 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.

PaperDateFileStatus SyntologyLicence
Toward Explainable and Policy-Aware AI for Carbon Credit Price Prediction: A Research Framework for Emerging Carbon Markets added by Syntology 2026-09 (from id) Kimalice/Toward-Explainable-and-Policy-Aware-AI-for-Carbon-Credit-Price-Prediction/paxcarbonnet/metrics.py 1460b7a36779a8f2 unverified licence not identified · pointer only
Manifold Constrained Tabular Deep Neural Networks added by Syntology 2026-07 (from id) LAMDA-Tabular/TALENT/TALENT/model/utils.py db2fe357a8af4965 ran MIT (permissive)
Protein Representation Learning with Secondary-Structure and Energy-Filtered Hydrogen-Bond Graphs added by Syntology 2026-06 (from id) mohamedmohamed2021/SSProNet/run_ProNet_LBA.py 706e6e3db9bfe8f3 ran fingerprinted no licence file found · pointer only
ThousandWorlds: A benchmark for climate emulation of potentially habitable exoplanets added by Syntology 2026-06 (from id) edstevenson/ThousandWorlds/thousandworlds/evaluate.py 8866460a8892b44d unverified MIT (permissive)
TABSWIFT: An Efficient Tabular Foundation Model with Row-Wise Attention added by Syntology 2026-06 (from id) LAMDA-Tabular/TabSwift/TALENT/model/utils.py db2fe357a8af4965 ran MIT (permissive)
Trajectory-Level Data Augmentation for Offline Reinforcement Learning added by Syntology 2026-05 (from id) HS-Kempten/lift/lift/environments.py 26bda1333a5f1c98 ran fingerprinted Apache-2.0 (permissive)
Worst-case low-rank approximations added by Syntology 2026-03 (from id) asberk/matrix-completion-whirlwind/mc_util.py 65219557f1a3151d unverified no licence file found · pointer only
Revisiting Chebyshev Polynomial and Anisotropic RBF Models for Tabular Regression added by Syntology 2026-02 (from id) gerberl/poly-erbf-benchmark/perbf/evaluation/metrics.py 4460afc8e6239c5b unverified MIT (permissive)
Tensor Methods: A Unified and Interpretable Approach for Material Design added by Syntology 2026-02 (from id) shaanpakala/Tensor-Methods-for-Material-Design/tensor_completion_models/NeAT/metrics.py d98fdc38474b51ac unverified no licence file found · pointer only
Calibrating Adaptive Smoothing Methods for Freeway Traffic Reconstruction added by Syntology 2026-02 (from id) trafficwaves/ASMx/calibration/train_day_to_day.py 3f8af5d6dd4be49b unverified MIT (permissive)
Self-Supervised Dynamical System Representations for Physiological Time-Series added by Syntology 2025-12 (from id) yuqinie98/PatchTST/PatchTST_self_supervised/src/metrics.py 1799dcc70885ac60 unverified Apache-2.0 (permissive)
Surrogate Modeling for the Design of Optimal Lattice Structures using Tensor Completion added by Syntology 2025-10 (from id) shaanpakala/Surrogate-Modeling-for-the-Design-of-Optimal-Lattice-Structures-using-Tensor-Completion/tensor_completion_models/NeAT/metrics.py d98fdc38474b51ac unverified no licence file found · pointer only
Automating Data Science Pipelines with Tensor Completion 8 Oct 2024 shaanpakala/stc_automl/src/tensor_completion_models/NeAT/metrics.py d98fdc38474b51ac unverified no licence file found · pointer only
xLSTMTime : Long-term Time Series Forecasting With xLSTM 14 Jul 2024 muslehal/xLSTMTime/src/metrics.py 1799dcc70885ac60 unverified MIT (permissive)
TALENT: A Tabular Analytics and Learning Toolbox 4 Jul 2024 qile2000/LAMDA-TALENT/TALENT/model/utils.py db2fe357a8af4965 ran MIT (permissive)
On the Completeness of Invariant Geometric Deep Learning Models 7 Feb 2024 GraphPKU/GeoNGNN/utils/loss_fns.py 59a3739f7c137827 ran fingerprinted no licence file found · pointer only
Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting 8 Jan 2024 pengxin-guo/adcsd/libcity/evaluator/eval_funcs.py d43c793b0819b516 ran fingerprinted no licence file found · pointer only
Multi Time Scale World Models 27 Oct 2023 ALRhub/MTS3/utils/Losses.py a2da722a97faba18 ran fingerprinted no licence file found · pointer only
Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning 2 Jun 2023 THUNLP-MT/GET/evaluate.py 73ae277598dfc72b unverified MIT (permissive)
Koopman Kernel Regression 25 May 2023 TUM-ITR/koopcore/koopcore/auxilliary/any.py f6d85b06a431d110 unverified MIT (permissive)
LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction 27 Apr 2023 libcity/bigscity-libcity/libcity/evaluator/eval_funcs.py 39ddf715e408db82 unverified Apache-2.0 (permissive)
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data 23 Feb 2023 vanderschaarlab/compcate/src/compcate/experiments/experiment_utils.py 78f2721cc89ba916 unverified MIT (permissive)
Log-Linear-Time Gaussian Processes Using Binary Tree Kernels 4 Oct 2022 mkc1000/btgp/btgp/gp.py fd7cabe7d679d108 ran · our draft was wrong fingerprinted no licence file found · pointer only
PARC: Physics-Aware Recurrent Convolutional Neural Networks to Assimilate Meso-scale Reactive Mechanics of Energetic Materials 4 Apr 2022 stephenbaek/parc/parc/losses.py c334a16f1a049ae4 unverified MIT (permissive)
Mitigating cold start problems in drug-target affinity prediction with interaction knowledge transferring 16 Jan 2022 ngminhtri0394/c2p2/utils.py c7392f9321715970 unverified no licence file found · pointer only
Climate-Invariant Machine Learning 14 Dec 2021 tbeucler/CBRAIN-CAM/cbrain/losses.py 889048aa1db91c55 unverified MIT (permissive)
Traffic4cast -- Large-scale Traffic Prediction using 3DResNet and Sparse-UNet 10 Nov 2021 resuly/traffic4cast-2021/models/Resnet3D.py 3d8ba4bf088061b8 ran · our draft was wrong fingerprinted MIT (permissive)
An Experimental Review on Deep Learning Architectures for Time Series Forecasting 22 Mar 2021 pedrolarben/TimeSeriesForecasting-DeepLearning/experiments/metrics.py db34a8f024e6b394 unverified MIT (permissive)
TransQuest: Translation Quality Estimation with Cross-lingual Transformers 1 Nov 2020 tharindudr/transQuest/transquest/algo/sentence_level/monotransquest/evaluation.py caa8fa90a6034056 unverified Apache-2.0 (permissive)
DeepGMR: Learning Latent Gaussian Mixture Models for Registration 20 Aug 2020 vinits5/learning3d/examples/train_deepgmr.py 7d9486b5108c6d07 ran · fixture could not drive it fingerprinted MIT (permissive)
Guarantees for Tuning the Step Size using a Learning-to-Learn Approach 30 Jun 2020 Kolin96/learning-to-learn/grid_search_eta_lr.py 3c2bdf1f52efa337 unverified MIT (permissive)
Output-Weighted Optimal Sampling for Bayesian Experimental Design and Uncertainty Quantification 22 Jun 2020 ablancha/gpsearch/gpsearch/core/metrics.py 574bbedcda73512c unverified MIT (permissive)
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels 13 Jun 2020 xingchenwan/nasbowl/perf_metrics.py fd1cb5746c3cdd8b unverified MIT (permissive)
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey 21 Apr 2020 potosnakw/neuralforecast/neuralforecast/losses/numpy.py ab6a1d596d6e55da unverified Apache-2.0 (permissive)
PanNuke Dataset Extension, Insights and Baselines 24 Mar 2020 alexjfoote/reetoolbox/reetoolbox/metrics.py 30f91c811cbc554f unverified Apache-2.0 (permissive)
OnionNet: a multiple-layer inter-molecular contact based convolutional neural network for protein-ligand binding affinity prediction 2019-06 (from id) zhenglz/onionnet/predict.py b96dcf394c817689 ran · violated contract fingerprinted GPL-3.0 (copyleft) · pointer only
Orthogonal Statistical Learning 25 Jan 2019 vsyrgkanis/orthogonal_learning/experiments.py 7bf0b49ce7d1b34b unverified MIT (permissive)
Neural Arithmetic Logic Units 1 Aug 2018 bmistry4/nalm-benchmark/misc/singularity_issue.py 3c7139452df8334e unverified MIT (permissive)
Deep learning to represent sub-grid processes in climate models 12 Jun 2018 jordanott/CBRAIN-CAM/cbrain/losses.py 889048aa1db91c55 unverified MIT (permissive)
NILMTK: An Open Source Toolkit for Non-intrusive Load Monitoring 2014-04 (from id) nilmtk/nilmtk/nilmtk/losses.py 93b41829513a8250 unverified Apache-2.0 (permissive)
arXiv:aaai_33789 dingyanna/LC-GODE/util_tmp.py 138e40620fde4538 unverified Apache-2.0 (permissive)
arXiv:aaai_27923 Jiahuiqu/M2DTN/metrics_utils.py c035dd38bd51da7e unverified MIT (permissive)
arXiv:Mao_Cross-Rejective_Open-Set_SAR_Image_Registration_CVPR_2025_paper XDyaoshi/CroR-OSIR-main/CroR-OSIR-main-version-two/Rmse_tool.py d2e859cf3cf66dec unverified Apache-2.0 (permissive)
arXiv:2023.findings-acl.892 TharinduDR/TransQuest/transquest/algo/sentence_level/monotransquest/evaluation.py caa8fa90a6034056 unverified Apache-2.0 (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