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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/V-Sense/Aesthetic-Image-Captioning-ICCVW-2019
https://github.com/VITA-Group/Large_Scale_GCN_Benchmarking
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking
https://github.com/Vchitect/Vchitect-2.0
Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models
https://github.com/Vidhiwar/roughness-index
Roughness Index and Roughness Distance for Benchmarking Medical Segmentation
https://github.com/Vidhiwar/roughness-index-distance
Roughness Index and Roughness Distance for Benchmarking Medical Segmentation
https://github.com/WangY0906/mmdetection-for-study
https://github.com/WenjieDu/SAITS
https://github.com/Wenyueh/LLMforRS_item_representation
https://github.com/WilliamLiPro/LpSS
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
https://github.com/WilliamPeng38/Fashion
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
https://github.com/XAI-liacs/BLADE
COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite
https://github.com/XanaduAI/pennylane
Better than classical? The subtle art of benchmarking quantum machine learning models
https://github.com/Xieyangxinyu/Unbiased-Watermark-via-Maximal-Coupling
WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models
https://github.com/YaohuiZeng/biglasso
https://github.com/YeLyuUT/MMDET
https://github.com/YeLyuUT/VISLNet
https://github.com/YoushaaMurhij/FasterCNN_Object_Detection
https://github.com/YutingLi0606/SURE
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
https://github.com/YvanG/VQGAN-CLIP
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/ZZR8066/mmdetection-GaofenCompetition
https://github.com/ZackPashkin/text2cartoon-pytorch-CLIP
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/Zernach/Fashion-MNIST
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
https://github.com/ZhaoChuyang/trans-person-search
https://github.com/ZhengPeng7/motion_magnification_learning-based
https://github.com/a736875071/clip-vit-large-patch14
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/aabbas90/cluster-fug
https://github.com/abcxs/building_extraction
https://github.com/abcxs/polyrnn
https://github.com/aclyde11/RNNGenerator
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
https://github.com/acmmmsys/2021-grandchallenge-cheapfakes
COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning
https://github.com/aerialroboticsgroup/agile-tethered-perching
https://github.com/agentification/language-integrated-vi
InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback
https://github.com/ai-forever/ru-clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/aida-ugent/NRLBenchmark
Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress?
https://github.com/aioz-ai/multigraphfl
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.