Home › Code › Memory

Memory

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

Memory appears in the code Syntology harvested for 19 papers, as 22 distinct code bodies found in 22 places (a place is one code body under one paper). At least one of them ran in 15 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 Memory 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 17 of the 22 distinct code bodies named Memory; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
17ran
5unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 15 of the 22 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

19 papers shown of 19, newest first; 22 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. 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
Beyond Outlining: Heterogeneous Recursive Planning for Adaptive Long-form Writing with Language Models 11 Mar 2025 principia-ai/WriteHERE/recursive/engine.py f14d02e64873b84f ran no licence file found · pointer only
Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems 17 Jan 2025 bigdata-ustc/agent4edu/Code/memory.py df29466aa359b307 unverified no licence file found · pointer only
Few shot font generation via transferring similarity guided global style and quantization local style 2 Sep 2023 awei669/VQ-Font/model/generator.py 8aa95f8d6107478a ran · metamorphic tier: deterministic MIT (permissive)
One-Trimap Video Matting 27 Jul 2022 Hongje/OTVM/models/trimap/model.py d7ab2e79a07b4f46 ran · metamorphic tier: invariant fingerprinted licence not identified · pointer only
No Reason for No Supervision: Improved Generalization in Supervised Models 30 Jun 2022 naver/trex/trex.py 970137f4cfb773bd ran · metamorphic tier: deterministic licence not identified · pointer only
Multi-modality Associative Bridging through Memory: Speech Sound Recollected from Face Video 4 Apr 2022 ms-dot-k/Visual-Audio-Memory/src/models/memory.py d0a7a7a21b4d5d9a ran · metamorphic tier: deterministic licence not identified · pointer only
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee 26 Oct 2021 flint-xf-fan/Byzantine-Federeated-RL/codes/agent.py 3d6b44bc159e62bc ran no licence file found · pointer only
Hierarchical Memory Matching Network for Video Object Segmentation 23 Sep 2021 Hongje/HMMN/model.py c73e4c9b0c5e54c7 ran no licence file found · pointer only
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation 12 Sep 2021 cycraig/MP-DQN/agents/pdqn.py 5c0ed95b8ea1a2ee ran MIT (permissive)
VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection 19 Aug 2021 yujun0-0/MMA-Net/libs/models/STM.py a216e5479edc80f6 ran no licence file found · pointer only
Adaptive Focus for Efficient Video Recognition 7 May 2021 blackfeather-wang/AdaFocus/Experiments on ActivityNet, FCVID and Mini-Kinetics/models/gfv_net.py 6dab8592a6da4561 ran no licence file found · pointer only
Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning 2 Apr 2021 sangmin-git/LMC-Memory/model.py dded2f1ec50c63b0 unverified licence not identified · pointer only
SwiftNet: Real-time Video Object Segmentation 9 Feb 2021 haochenheheda/SwiftNet/swiftnet.py a9fffc481b0aad9c unverified no licence file found · pointer only
Diversity is All You Need: Learning Skills without a Reward Function 16 Feb 2018 alirezakazemipour/DIAYN-PyTorch/Brain/agent.py b9f1643b2317c893 ran MIT (permissive)
Proximal Policy Optimization Algorithms 20 Jul 2017 liuyuezhang/pyrl/ppo/agent.py 121aee63a1a24691 unverified Apache-2.0 (permissive)
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 7 Jun 2017 zowiezhang/stas/models/policy/COMA.py 51c877df80bace64 ran no licence file found · pointer only
Prioritized Experience Replay 18 Nov 2015 KAIST-AILab/deeprl_practice_colab/rllab/dqn/misc/memory_pool.py 4f033d771152e1b0 ran no licence file found · pointer only
Deep Reinforcement Learning with Double Q-learning 22 Sep 2015 utarumo/RL_implementation/dqn_atari.py dc87a7e1418f9bb3 ran MIT (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 fshamshirdar/pytorch-rdpg/rdpg.py a5e014313403ae12 ran no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 xtma/simple-pytorch-rl/ddpg.py dc27eb092679d1d2 ran no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 mathformoso/RL-playground---ddpg/DDPG.py ccb0aa1ef035eb8e ran MIT (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 anita-hu/TF2-RL/DDPG/TF2_DDPG_Basic.py 84a671ee7bad8513 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