| Can LLMs Test Terminal User Interfaces? added by Syntology |
2026-08 (from id) |
tui-testing/tuibot/src/tuibot/process.py f12b4c26b065495c |
ran
|
MIT (permissive) |
| Matching Tasks to Objectives: Fine-Tuning and Prompt-Tuning Strategies for Encoder-Decoder Pre-trained Language Models added by Syntology |
23 Jun 2026 |
puraminy/MTO/mto/eval_seq2seq.py 44e48dfbdecee3da |
ran · our draft was wrong
fingerprinted |
MIT (permissive) |
| Understanding Latent Flow Models for Tabular Data Synthesis: Targets, Paths, and Sampling added by Syntology |
2026-06 (from id) |
rulnasution/tabular-latent-flow/flow_run.py 2e47157170401c77 |
ran
|
Apache-2.0 (permissive) |
| HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents added by Syntology |
2026-05 (from id) |
DeepExperience/HyperEyes/RL/relax-hypereyes/Relax/versioneer.py 74de8bbc845a6717 |
ran
|
no licence file found · pointer only |
| HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents added by Syntology |
2026-05 (from id) |
DeepExperience/HyperEyes/RL/relax-hypereyes/Relax/relax/_version.py e36817d1c9cffe87 |
ran
|
no licence file found · pointer only |
| CC-OCR v2: Fine-Grained Attribution of LMM Failures in Real-World Visual Document Understanding added by Syntology |
2026-05 (from id) |
eioss/CC-OCR-V2/datasets_process/process_sibr.py 5a2559ab82d74b9c |
ran
|
MIT (permissive) |
| CADFit: Precise Mesh-to-CAD Program Generation with Hybrid Optimization added by Syntology |
2026-05 (from id) |
ghadinehme/CADFit/run_pipeline.py ccf01b31fb65fecc |
ran
|
licence not identified · pointer only |
| Relax: An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale added by Syntology |
2026-04 (from id) |
redai-infra/Relax/relax/_version.py e36817d1c9cffe87 |
ran
|
Apache-2.0 (permissive) |
| COVTrack++: Learning Open-Vocabulary Multi-Object Tracking from Continuous Videos via a Synergistic Paradigm added by Syntology |
2026-03 (from id) |
zekunqian/covtrack/run_later.py 23d845075682b1e8 |
unverified |
Apache-2.0 (permissive) |
| Generative Replica-Exchange: A Flow-based Framework for Accelerating Replica Exchange Simulations added by Syntology |
2026-03 (from id) |
Hhuangsj/GREX/Ala2/bgflow/_version.py 86d4ff45d6295e29 |
unverified |
no licence file found · pointer only |
| Identifying the Geographic Foci of US Local News added by Syntology |
2026-03 (from id) |
shapely/shapely/src/shapely/_version.py dbb37355631dabcf |
unverified |
BSD-3-Clause (permissive) |
| Explanatory Interactive Machine Learning for Bias Mitigation in Visual Gender Classification added by Syntology |
2026-02 (from id) |
fhstp/xil-gender-classification/explanatory_gender_classification/run_example.py ea63d8659109d801 |
unverified |
GPL-3.0 (copyleft) · pointer only |
| Grounding Generative Planners in Verifiable Logic: A Hybrid Architecture for Trustworthy Embodied AI added by Syntology |
2026-02 (from id) |
Sn0wm1an/VIRF/agent_bench/run_batch_experiments.py 855925efeaf9678c |
unverified |
no licence file found · pointer only |
| Tracking and Understanding Object Transformations added by Syntology |
2025-11 (from id) |
YihongSun/TubeletGraph/quick_run.py 019bd91fa532e60a |
unverified |
MIT (permissive) |
| Explaining and Mitigating Crosslingual Tokenizer Inequities added by Syntology |
2025-10 (from id) |
catherinearnett/explaining_tokenizer_inequities/scripts/train_superbpe_tokenizers.py 7b93befc0632e7d5 |
ran · our draft was wrong
|
MIT (permissive) |
| arXiv:2507.15290 |
2025-07 (from id) |
SarahLiaw/ctx-bandits-mcmc-showdown/run_experiments.py 1968be7cbb297e46 |
unverified |
MIT (permissive) |
| Consistent Sampling and Simulation: Molecular Dynamics with Energy-Based Diffusion Models |
20 Jun 2025 |
noegroup/bgmol/bgmol/_version.py 86d4ff45d6295e29 |
unverified |
MIT (permissive) |
| Unable to Forget: Proactive lnterference Reveals Working Memory Limits in LLMs Beyond Context Length |
9 Jun 2025 |
zhuangziGiantfish/Unable-to-Forget/automation/run_full_pipeline.py e4d97b219ca3432d |
unverified |
MIT (permissive) |
| RankLLM: A Python Package for Reranking with LLMs |
25 May 2025 |
castorini/rank_llm/src/rank_llm/2cr/_base.py e0e20cb592f4dd2c |
unverified |
Apache-2.0 (permissive) |
| FEA-Bench: A Benchmark for Evaluating Repository-Level Code Generation for Feature Implementation |
9 Mar 2025 |
microsoft/FEA-Bench/feabench/get_dataset.py ae38c85f79ffb235 |
unverified |
MIT (permissive) |
| A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks |
1 Dec 2024 |
cognac-gnn-unlearning/corrective-unlearning-for-gnns/run_cognac_best.py f7b12db3f3b994f5 |
ran · violated contract
|
no licence file found · pointer only |
| Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy |
13 Oct 2024 |
unimodal4reasoning/adaptivediffusion/benchmarks/run_all.py caf44b9a51fc258f |
ran
|
Apache-2.0 (permissive) |
| LiveBench: A Challenging, Contamination-Limited LLM Benchmark |
27 Jun 2024 |
livebench/livebench/livebench/run_livebench.py b6589d670b17d214 |
ran · honoured contract
|
licence not identified · pointer only |
| PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance |
28 Dec 2023 |
taicaichen/pg-lbo/utils/utils_cmd.py 7e54179509606534 |
unverified |
MIT (permissive) |
| Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning |
19 Oct 2023 |
vertaix/vendi-sampling/Molecular/reform/_version.py 86d4ff45d6295e29 |
unverified |
MIT (permissive) |
| Sensitivity of the IceCube Upgrade to Atmospheric Neutrino Oscillations |
2023-07 (from id) |
icecube/pisa/pisa/_version.py e36817d1c9cffe87 |
ran
|
Apache-2.0 (permissive) |
| SwiFT: Swin 4D fMRI Transformer |
12 Jul 2023 |
Project-MONAI/MONAI/monai/_version.py dbb37355631dabcf |
unverified |
Apache-2.0 (permissive) |
| Exploring the Benefits of Training Expert Language Models over Instruction Tuning |
7 Feb 2023 |
identical code first harvested elsewhere 44e48dfbdecee3da |
ran · our draft was wrong
fingerprinted |
licence of this copy not recorded |
| Self-driving Multimodal Studies at User Facilities |
2023-01 (from id) |
nsls-ii-pdf/mmm-experiments/mmm_experiments/_version.py 86d4ff45d6295e29 |
unverified |
BSD-3-Clause (permissive) |
| NVIDIA FLARE: Federated Learning from Simulation to Real-World |
24 Oct 2022 |
NVIDIA/NVFlare/nvflare/_version.py fd630fd3407fdef7 |
unverified |
Apache-2.0 (permissive) |
| GraphNeT: Graph neural networks for neutrino telescope event reconstruction |
21 Oct 2022 |
graphnet-team/graphnet/src/graphnet/_version.py 5ceaf6d580b6beef |
unverified |
Apache-2.0 (permissive) |
| On the Optimal Linear Contraction Order of Tree Tensor Networks, and Beyond |
2022-09 (from id) |
stoianmihail/netzwerk/src/netzwerk/_version.py dbb37355631dabcf |
unverified |
MIT (permissive) |
| Roughness of molecular property landscapes and its impact on modellability |
19 Jul 2022 |
coleygroup/rogi/src/rogi/_version.py dbb37355631dabcf |
unverified |
MIT (permissive) |
| EXODUS: Stable and Efficient Training of Spiking Neural Networks |
20 May 2022 |
synsense/sinabs-exodus/sinabs/exodus/_version.py dbb37355631dabcf |
unverified |
Apache-2.0 (permissive) |
| Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital Histopathology |
9 Apr 2022 |
jamesdolezal/slideflow/slideflow/_version.py dbb37355631dabcf |
unverified |
Apache-2.0 (permissive) |
| Bayesian optimization with known experimental and design constraints for chemistry applications |
29 Mar 2022 |
aspuru-guzik-group/gryffin/src/gryffin/_version.py 86d4ff45d6295e29 |
unverified |
Apache-2.0 (permissive) |
| HuSpaCy: an industrial-strength Hungarian natural language processing toolkit |
6 Jan 2022 |
huspacy/huspacy/huspacy/huspacy/utils.py 3b88d3f32fe70ecc |
unverified |
Apache-2.0 (permissive) |
| Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining |
16 Oct 2021 |
mitibmxgraph/salient_artifact/experiments/configure_for_environment.py 4ae8a2b8375d5c18 |
unverified |
Apache-2.0 (permissive) |
| Learning C to x86 Translation: An Experiment in Neural Compilation |
17 Aug 2021 |
jordiae/neural-compilers/neural_compilers/utils/utilities.py 99a6bcf03a1964db |
unverified |
MIT (permissive) |
| Temperature Steerable Flows and Boltzmann Generators |
2021-08 (from id) |
noegroup/bgflow/bgflow/_version.py 86d4ff45d6295e29 |
unverified |
MIT (permissive) |
| Multiplying Matrices Without Multiplying |
21 Jun 2021 |
joennlae/halutmatmul/.github/vast.ai/vast_ai_helper.py 1df4b72b2fa42ada |
unverified |
MIT (permissive) |
| Compacter: Efficient Low-Rank Hypercomplex Adapter Layers |
8 Jun 2021 |
rabeehk/compacter/seq2seq/run_seq2seq.py 44e48dfbdecee3da |
ran · our draft was wrong
fingerprinted |
no licence file found · pointer only |
| SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers |
31 May 2021 |
UAws/CV-3315-Is-All-You-Need/bridge/executor.py 744dc51a3ef15686 |
unverified |
Apache-2.0 (permissive) |
| The Power of Scale for Parameter-Efficient Prompt Tuning |
18 Apr 2021 |
VE-FORBRYDERNE/mtj-softtuner/mtj_softtuner/_version.py dbb37355631dabcf |
unverified |
Apache-2.0 (permissive) |
| Constrained non-negative matrix factorization enabling real-time insights of $\textit{in situ}$ and high-throughput experiments |
2 Apr 2021 |
NSLS-II/constrained-matrix-factorization/versioneer.py 86d4ff45d6295e29 |
unverified |
BSD-3-Clause (permissive) |
| Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning |
22 Dec 2020 |
identical code first harvested elsewhere 44e48dfbdecee3da |
ran · our draft was wrong
fingerprinted |
licence of this copy not recorded |
| SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning |
16 Oct 2020 |
jonathanking/sidechainnet/sidechainnet/_version.py 86d4ff45d6295e29 |
unverified |
BSD-3-Clause (permissive) |
| Crystallography companion agent for high-throughput materials discovery |
2020-08 (from id) |
maffettone/xca/xca/_version.py 86d4ff45d6295e29 |
unverified |
BSD-3-Clause (permissive) |
| Evaluation of synthetic and experimental training data in supervised machine learning applied to charge state detection of quantum dots |
2020-05 (from id) |
microsoft/nanotune/nanotune/_version.py c568a8377abe39e7 |
unverified |
MIT (permissive) |
| ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks |
7 May 2020 |
kiyoon/pyvideoai/pyvideoai/_version.py c568a8377abe39e7 |
unverified |
MIT (permissive) |
| Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning |
10 Mar 2020 |
AIcrowd/repo2docker/repo2docker/_version.py 86d4ff45d6295e29 |
unverified |
BSD-3-Clause (permissive) |
| Towards Scalable Dataframe Systems |
2020-01 (from id) |
modin-project/modin/modin/_version.py e36817d1c9cffe87 |
ran
|
Apache-2.0 (permissive) |
| Generating valid Euclidean distance matrices |
7 Oct 2019 |
noegroup/EDMnets/edmnets/_version.py 86d4ff45d6295e29 |
unverified |
MIT (permissive) |
| A Higher-Order Swiss Army Infinitesimal Jackknife |
28 Jul 2019 |
rgiordan/vittles/vittles/_version.py 86d4ff45d6295e29 |
unverified |
Apache-2.0 (permissive) |
| BioBERT: a pre-trained biomedical language representation model for biomedical text mining |
25 Jan 2019 |
dmis-lab/bern/utils.py 7db82cce6fd97e13 |
unverified |
BSD-2-Clause (permissive) |
| Knowing what you know in brain segmentation using Bayesian deep neural networks |
3 Dec 2018 |
neuronets/kwyk/kwyk/_version.py 86d4ff45d6295e29 |
unverified |
Apache-2.0 (permissive) |
| Stochastic seismic waveform inversion using generative adversarial networks as a geological prior |
10 Jun 2018 |
LukasMosser/stochastic_seismic_waveform_inversion/devito/versioneer.py 86d4ff45d6295e29 |
unverified |
MIT (permissive) |
| Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials |
8 Jun 2018 |
nrel/m2p/m2p/_version.py dbb37355631dabcf |
unverified |
BSD-3-Clause (permissive) |
| A Swiss Army Infinitesimal Jackknife |
2018-06 (from id) |
rgiordan/paragami/paragami/_version.py 86d4ff45d6295e29 |
unverified |
Apache-2.0 (permissive) |
| Assessing Generative Models via Precision and Recall |
31 May 2018 |
ok1zjf/lbae/sys_utils.py 1bd4c31f00d84b70 |
unverified |
MIT (permissive) |
| arXiv:aaai_29018 |
|
TaicaiChen/PG-LBO/utils/utils_cmd.py 7e54179509606534 |
unverified |
MIT (permissive) |
| arXiv:Liu_Revealing_Key_Details_to_See_Differences_A_Novel_Prototypical_Perspective_CVPR_2025_paper |
|
firework8/ProtoGCN/protogcn/smp.py 997611fcf93f8120 |
unverified |
MIT (permissive) |