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build_net

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

build_net appears in the code Syntology harvested for 13 papers, as 12 distinct code bodies found in 13 places (a place is one code body under one paper). At least one of them ran in 5 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 build_net 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 4 of the 12 distinct code bodies named build_net; 8 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
3ran
8unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 13 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

13 papers shown of 13, newest first; 13 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; 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
DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty 14 Jun 2025 lemutisme/dr-sac/sac.py eae1a13a0cda9f0e ran MIT (permissive)
Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space 20 May 2024 lqm00/a2p-sac/SAC.py d96f54381bd4e495 ran no licence file found · pointer only
Deployable Reinforcement Learning with Variable Control Rate 17 Jan 2024 alpaficia/SEAC_Pytorch_release/SEAC.py 9b95be60df57db51 ran MIT (permissive)
Generalized Schrödinger Bridge Matching 3 Oct 2023 facebookresearch/generalized-schrodinger-bridge-matching/gsbm/network.py d1843fddf89b8981 unverified licence not identified · pointer only
arXiv:2308.08231 2023-08 (from id) ZhangCYG/DDFHO/models/enc.py 64048b7dbc5ece66 unverified no licence file found · pointer only
Improvable Gap Balancing for Multi-Task Learning 28 Jul 2023 yanqidai/igb4mtl/methods/SAC_Agent.py c6232ce52557336a ran · our draft was wrong MIT (permissive)
How to train your neural ODE: the world of Jacobian and kinetic regularization 7 Feb 2020 D-hash-code/ffjord-rnode-finalweek-mnist/lib/layers/coupling.py 1bfb103fe91e335d unverified MIT (permissive)
Soft Actor-Critic Algorithms and Applications 13 Dec 2018 alpaficia/MOSEAC_Limo/limo-sim/MOSEAC.py 9b95be60df57db51 ran MIT (permissive)
Quasi-hyperbolic momentum and Adam for deep learning 16 Oct 2018 facebookresearch/qhoptim/test_qhoptim/tf/util.py 8c61c8f36e03fd81 unverified MIT recorded; this copy not marked cleared · pointer only
MINE: Mutual Information Neural Estimation 12 Jan 2018 shannonycj/simple-mine/mine_estimator.py b40580a228020fe9 unverified MIT (permissive)
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World 20 Mar 2017 xinjinghao/sparrow-v1/train_DDQN_vector.py 97434e6715c04c04 unverified MIT (permissive)
Incorporating long-range consistency in CNN-based texture generation 3 Jun 2016 ty625911724/texture_generation_master/vgg_model.py b7ab84f1f3ea79ff unverified MIT (permissive)
Deep Interactive Object Selection 13 Mar 2016 IntelVCL/Intseg/IntSeg_Train.py 374548efb213f810 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