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make_mlp

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

make_mlp appears in the code Syntology harvested for 35 papers, as 31 distinct code bodies found in 39 places (a place is one code body under one paper). At least one of them ran in 23 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 make_mlp 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 21 of the 31 distinct code bodies named make_mlp; 10 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
11ran · our draft was wrong
3ran · fixture could not drive it
7ran
10unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 20 of the 39 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

35 papers shown of 35, newest first; 39 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 3 papers added by Syntology; 1 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
Temporal Sheaf Neural Networks with Dynamic Orthogonal Transport added by Syntology 2026-06 (from id) TanzilaKhan1/TSNN-Code/tsnn/model.py 950ac6837947adb3 ran · our draft was wrong no licence file found · pointer only
Constrained latent state modeling: A unifying perspective on representation learning under competing constraints added by Syntology 2026-05 (from id) gwenole-quellec/clsm/clsm/models.py d1a0e91a01a578c4 ran · fixture could not drive it MIT (permissive)
A Variational Manifold Embedding Framework for Nonlinear Dimensionality Reduction added by Syntology 2025-11 (from id) john-vastola/varembed-neurreps25/functions/embedding_functions.py d6d09d18a0b3f8ff ran · our draft was wrong no licence file found · pointer only
Flow Q-Learning 4 Feb 2025 MohammadrezaNakhaei/FQL/fql.py b1f4b83743029d60 ran · fixture could not drive it no licence file found · pointer only
When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? 18 Dec 2024 tongzhoumu/s2v-dagger/scripts/s2v_dagger_adroit.py 90fae513bfd26dad ran · our draft was wrong MIT (permissive)
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning 26 Jun 2024 RomanBresson/KAGNN/graph_classification/models.py e6fecbae3fad6abf ran no licence file found · pointer only
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning 26 Jun 2024 RomanBresson/KAGNN/node_classification_clean/models.py 2c9c508b9c64f4a4 ran no licence file found · pointer only
Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks 7 Jun 2024 joeloskarsson/neural-lam/neural_lam/utils/networks.py 556864668ef1941e ran MIT (permissive)
MeMo: Meaningful, Modular Controllers via Noise Injection 24 May 2024 agrimgupta92/metamorph/metamorph/utils/model.py 11acf0d4c677ef40 ran no licence file found · pointer only
Pessimistic Backward Policy for GFlowNets 25 May 2024 hsjang0/Pessimistic-Backward-Policy-for-GFlowNets/grid_PBP-GFN.py 9337a834d9e051aa ran no licence file found · pointer only
Semantic Flow: Learning Semantic Field of Dynamic Scenes from Monocular Videos 8 Apr 2024 tianfr/Semantic-Flow/src/model/model_util.py 046533b17b85b925 unverified licence not identified · pointer only
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control 9 Feb 2024 masterxiong/universal-morphology-control/metamorph/utils/model.py 11acf0d4c677ef40 ran no licence file found · pointer only
Generative Marginalization Models 19 Oct 2023 PrincetonLIPS/MaM/mam/models/nn.py 60eb5359534cfc1c ran no licence file found · pointer only
Local Search GFlowNets 4 Oct 2023 dbsxodud-11/ls_gfn/gflownet/network.py 266dbf4340bef3f5 ran no licence file found · pointer only
Order-Preserving GFlowNets 30 Sep 2023 yhangchen/op-gfn/single/GFN-Mole/gflownet/network.py 266dbf4340bef3f5 ran no licence file found · pointer only
NeRRF: 3D Reconstruction and View Synthesis for Transparent and Specular Objects with Neural Refractive-Reflective Fields 22 Sep 2023 dawning77/nerrf/src/model/model_util.py 84c6f39475151566 unverified no licence file found · pointer only
Relational Context Learning for Human-Object Interaction Detection 11 Apr 2023 OreoChocolate/MUREN/models/muren.py 797956ccba4eba9e ran · our draft was wrong no licence file found · pointer only
FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models 22 Mar 2023 jianglongye/featurenerf/src/model/model_util.py ea00c4d267522342 unverified MIT (permissive)
Distributional GFlowNets with Quantile Flows 11 Feb 2023 zdhnarsil/distributional-gflownets/grid/distributional.py 29e96c8a8bdeae38 unverified MIT (permissive)
Memory-Based Meta-Learning on Non-Stationary Distributions 6 Feb 2023 deepmind/nonstationary_mbml/models/basic.py ee3072eb25987bed unverified Apache-2.0 (permissive)
Better Training of GFlowNets with Local Credit and Incomplete Trajectories 3 Feb 2023 identical code first harvested elsewhere c59313aa188e63c6 ran · our draft was wrong licence of this copy not recorded
Better Training of GFlowNets with Local Credit and Incomplete Trajectories 3 Feb 2023 gfnorg/gflownet/grid/cond_grid_dag.py 2b63a9198ca42b4e ran · our draft was wrong MIT (permissive)
Latent State Marginalization as a Low-cost Approach for Improving Exploration 3 Oct 2022 zdhnarsil/stochastic-marginal-actor-critic/lib/network.py 29e96c8a8bdeae38 unverified MIT (permissive)
Learning GFlowNets from partial episodes for improved convergence and stability 26 Sep 2022 gfnorg/gflownet/grid/toy_grid_dag.py 844623be88f76533 ran · our draft was wrong MIT (permissive)
Generative Flow Networks for Discrete Probabilistic Modeling 3 Feb 2022 gfnorg/eb_gfn/gflownet.py 748e67c13d4d482f ran · our draft was wrong MIT (permissive)
Trajectory balance: Improved credit assignment in GFlowNets 31 Jan 2022 gfnorg/gflownet/grid/cond_grid_dag.py c59313aa188e63c6 ran · our draft was wrong MIT (permissive)
Trajectory balance: Improved credit assignment in GFlowNets 31 Jan 2022 identical code first harvested elsewhere 2b63a9198ca42b4e ran · our draft was wrong licence of this copy not recorded
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction 20 Aug 2021 selflein/MG-GAN/mggan/model/modules/discriminators.py 7cef0e1b31d13120 ran · our draft was wrong no licence file found · pointer only
Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs 19 Aug 2021 he-dhamo/graphto3d/model/VAEGAN_SHARED.py 0845399702547253 ran · fixture could not drive it Apache-2.0 (permissive)
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation 8 Jun 2021 identical code first harvested elsewhere c59313aa188e63c6 ran · our draft was wrong licence of this copy not recorded
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation 8 Jun 2021 bengioe/gflownet/grid/cond_grid_dag.py 2b63a9198ca42b4e ran · our draft was wrong MIT (permissive)
DEMI: Discriminative Estimator of Mutual Information 5 Oct 2020 RayRuizhiLiao/demi_mi_estimator/utils.py 6049f731f4511b38 unverified MIT (permissive)
Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation 2 Oct 2020 dendorferpatrick/GoalGAN/model/model_modules.py 1513e0801041daa3 unverified MIT (permissive)
Self-Sampling for Neural Point Cloud Consolidation 14 Aug 2020 galmetzer/self-sample/pointnet2_module.py 008d50c2594a0d5a unverified MIT (permissive)
End-to-End Optimization of Scene Layout 23 Jul 2020 aluo-x/3D_SLN/models/graph.py dd4fe4836e5846da unverified Apache-2.0 (permissive)
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints 5 Jun 2018 coolsunxu/sophie/models.py 555e67263ce7ee0a ran · our draft was wrong no licence file found · pointer only
Relational inductive biases, deep learning, and graph networks 4 Jun 2018 mylonasc/tf-gnns/tf_gnns/graphnet_utils.py 489a7393def35150 unverified Apache-2.0 (permissive)
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks 29 Mar 2018 rohanchandra30/TrackNPred/model/Prediction/sgan/models.py 367e08507e69216f ran · our draft was wrong no licence file found · pointer only
arXiv:aaai_28229 eezkni/ColNeRF/src/model/model_util.py ea00c4d267522342 unverified BSD-2-Clause (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