| SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model |
13 Apr 2025 |
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Apache-2.0 (permissive) |
| Active learning of neural population dynamics using two-photon holographic optogenetics |
3 Dec 2024 |
MouseLand/suite2p/suite2p/__main__.py d04d50efd6cd828e |
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| Can OOD Object Detectors Learn from Foundation Models? |
8 Sep 2024 |
CVMI-Lab/SyncOOD/OOD_OBJ_DET/interface.py aec928841c66e96d |
ran
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Apache-2.0 (permissive) |
| Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference |
16 Jun 2024 |
mit-han-lab/Quest/evaluation/passkey/passkey.py a16da1e7b565968b |
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MIT (permissive) |
| The Critique of Critique |
9 Jan 2024 |
gair-nlp/metacritique/meta_critique/meta_critique.py 96f07daca82c6104 |
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Apache-2.0 (permissive) |
| SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling |
23 Dec 2023 |
jquesnelle/yarn/eval/model_loader.py cf585714e4ffcb75 |
ran
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MIT (permissive) |
| DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models |
18 Dec 2023 |
manu21jc/dataelixir/attack/badnet.py b48e0235bc309f9d |
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| Graph Convolutions Enrich the Self-Attention in Transformers! |
7 Dec 2023 |
jeongwhanchoi/gfsa/Code/configs.py ff8bffb7326ca0bc |
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MIT (permissive) |
| Data Augmentation for Code Translation with Comparable Corpora and Multiple References |
1 Nov 2023 |
veronicium/cmtrans/codet5/config.py 37156125554b21d2 |
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| Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus |
8 Oct 2023 |
hlt-mt/fbk-NEUTR-evAL/src/fbk_neutreval/cli/llm_as_a_judge/generic.py 80132b7e673543b4 |
ran
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Apache-2.0 (permissive) |
| CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction |
29 Aug 2023 |
umarkhalidai/cefhri-efficient-federated-learning/main_use.py a303755cfc07a135 |
ran
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| Learning to Group Auxiliary Datasets for Molecule |
8 Jul 2023 |
Graph-and-Geometric-Learning/MolGroup/molgroup/utils/utils.py 250aa4c9f2b943bc |
ran
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| Can Large Language Models Infer Causation from Correlation? |
9 Jun 2023 |
causalnlp/corr2cause/code/finetune/utils.py 0125471072372399 |
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MIT (permissive) |
| TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills |
23 May 2023 |
qiushisun/transcoder/configs.py b853ebf5b01e9047 |
unverified |
MIT (permissive) |
| TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills |
23 May 2023 |
qiushisun/transcoder/configs_fewshot.py d313ee74f207a251 |
unverified |
MIT (permissive) |
| StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation |
28 May 2023 |
sunyx523/steik/sanitychecks/sc_args.py c5b295e5efbd3d51 |
unverified |
MIT (permissive) |
| Backdooring Neural Code Search |
27 May 2023 |
wssun/BADCODE/src/CodeT5/configs.py 9b377a37e028ccda |
unverified |
MIT (permissive) |
| Segment Anything in 3D with Radiance Fields |
24 Apr 2023 |
Jumpat/SegmentAnythingin3D/lib/config_loader.py 473d9d583627843c |
unverified |
Apache-2.0 (permissive) |
| Asynchronous Federated Continual Learning |
7 Apr 2023 |
lttm/fedspace/main_fedavg_AFCL.py 33a40a7f5ea50540 |
unverified |
Apache-2.0 (permissive) |
| Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder |
27 Mar 2023 |
tsun/bdmae/attack/lc_attack.py 5394691602c74e1b |
unverified |
MIT (permissive) |
| Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder |
27 Mar 2023 |
tsun/bdmae/attack/badnet_attack.py 47506a60457acdcf |
unverified |
MIT (permissive) |
| BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements |
21 Mar 2023 |
girishvn/bigsmall/code/bigsmall_main.py df1946eb193652fd |
ran · our draft was wrong
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MIT (permissive) |
| Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning |
22 Feb 2023 |
moukamisama/Recon/scripts/train_cityscapes.py adf2dbd87e2095e8 |
ran · our draft was wrong
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| Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning |
16 Feb 2023 |
alexhernandezgarcia/co2ml/main_stats.py 8303678322f50e17 |
ran · our draft was wrong
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| Domain Generalization by Learning and Removing Domain-specific Features |
14 Dec 2022 |
yulearningg/LRDG/util_args.py ceb0bd00afeea6ab |
unverified |
MIT (permissive) |
| No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence |
24 Jul 2022 |
adf1178/pt4code/CodeT5-main/configs.py 504a7d87c9b11731 |
unverified |
MIT (permissive) |
| FixEval: Execution-based Evaluation of Program Fixes for Programming Problems |
15 Jun 2022 |
mahimanzum/fixeval/codet5/configs.py 414ce77640f6ccc5 |
unverified |
MIT (permissive) |
| DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training |
1 Jun 2022 |
rong-dai/dispfl/fedml_experiments/standalone/DisPFL/main_dispfl.py 12c39dc6d9321b4e |
unverified |
MIT (permissive) |
| SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections |
31 May 2022 |
google/samurai/train_samurai.py 9f397292332658db |
unverified |
Apache-2.0 (permissive) |
| SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections |
31 May 2022 |
google/samurai/models/samurai/config.py d0f5cfa444c569da |
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Apache-2.0 (permissive) |
| FedAdapter: Efficient Federated Learning for Modern NLP |
20 May 2022 |
UbiquitousLearning/FedAdapter/experiments/distributed/transformer_exps/run_tc_exps/trial_error.py ada590a4d77f6b67 |
ran · our draft was wrong
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| Arithmetic-Based Pretraining -- Improving Numeracy of Pretrained Language Models |
13 May 2022 |
ukplab/emnlp2022-reasoning-aware-pretraining/args.py abd5798bdcfa8197 |
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Apache-2.0 (permissive) |
| CLRNet: Cross Layer Refinement Network for Lane Detection |
19 Mar 2022 |
Turoad/CLRNet/clrnet/utils/config.py 473d9d583627843c |
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Apache-2.0 (permissive) |
| STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks |
12 Nov 2021 |
jw9msjwjnpdrlfw/tsfl/gnn_experiment.py 4cea3aa13372023c |
ran · our draft was wrong
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MIT (permissive) |
| STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks |
12 Nov 2021 |
jw9msjwjnpdrlfw/tsfl/fed_experiment.py d4c0de964db3d9ea |
unverified |
MIT (permissive) |
| Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition |
27 Oct 2021 |
cgtuebingen/Neural-PIL/train_neural_pil.py 26023d8fd8d98d65 |
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MIT (permissive) |
| PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers |
5 Feb 2021 |
Distributed-AI/PipeTransformer/examples/question_answering/main_qa.py 13601ef5d6d6f181 |
ran · our draft was wrong
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| Federated Knowledge Distillation |
4 Nov 2020 |
eternal-f1ame/DaFKD2023/main_fed.py c7b358a346d2fd98 |
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Apache-2.0 (permissive) |
| FedML: A Research Library and Benchmark for Federated Machine Learning |
27 Jul 2020 |
orienfish/fedml/fedml_experiments/distributed/fedavg/main_fedavg.py 3c0eb3f98387a1fc |
unverified |
GPL-3.0 (copyleft) · pointer only |
| Energy-based models for atomic-resolution protein conformations |
27 Apr 2020 |
facebookresearch/protein-ebm/vis_sandbox.py bd5cfdfd4a215c67 |
ran · our draft was wrong
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MIT (permissive) |
| CodeSearchNet Challenge: Evaluating the State of Semantic Code Search |
20 Sep 2019 |
nchen909/codeattention/configs.py 91fcc17204abe9ed |
unverified |
MIT (permissive) |
| PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows |
28 Jun 2019 |
stevenygd/PointFlow/args.py 28e9ee719dbcca62 |
unverified |
MIT (permissive) |
| Bypassing Backdoor Detection Algorithms in Deep Learning |
31 May 2019 |
identical code first harvested elsewhere bf4a97ed98a7136f |
unverified |
licence of this copy not recorded |
| Bypassing Backdoor Detection Algorithms in Deep Learning |
31 May 2019 |
identical code first harvested elsewhere c8871bb5d53700cc |
unverified |
licence of this copy not recorded |
| BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain |
22 Aug 2017 |
aisafety-hkust/backdoor_safety_tuning/fine_tune/ft.py bf4a97ed98a7136f |
unverified |
licence not identified · pointer only |
| BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain |
22 Aug 2017 |
aisafety-hkust/backdoor_safety_tuning/fine_tune/qra.py c8871bb5d53700cc |
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licence not identified · pointer only |
| arXiv:aaai_29433 |
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crystal250/GSENet/clrnet/utils/config.py 473d9d583627843c |
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Apache-2.0 (permissive) |
| arXiv:Pang_Backdoor_Cleansing_With_Unlabeled_Data_CVPR_2023_paper |
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luluppang/BCU/attack/badnet_attack.py 90d60d911581191d |
unverified |
MIT (permissive) |
| arXiv:Pang_Backdoor_Cleansing_With_Unlabeled_Data_CVPR_2023_paper |
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luluppang/BCU/attack/blended_attack.py 2ff7f641c3cce602 |
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MIT (permissive) |
| arXiv:Pang_Backdoor_Cleansing_With_Unlabeled_Data_CVPR_2023_paper |
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luluppang/BCU/attack/lc_attack.py 5394691602c74e1b |
unverified |
MIT (permissive) |