Benchmarking
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/FAANG/proj-gs-meth
https://github.com/FaceOnLive/DeepFake-Detection-SDK-Linux
https://github.com/Faceplugin-ltd/FaceLivenessDetection-Android
https://github.com/FarihaHossain/SwinFSR
AM-RADIO: Agglomerative Vision Foundation Model -- Reduce All Domains Into One
https://github.com/FayCai/framework
https://github.com/FelixHub/custom-LSEP-loss-function
ML-Net: multi-label classification of biomedical texts with deep neural networks
https://github.com/FreddeFrallan/Multilingual-CLIP
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/Gahyeonkim09/AAPL
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/GeorgiosSmyrnis/multiclass_minimization_icml2020
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
https://github.com/Gitgigabyte/mmd
https://github.com/Gitgigabyte/mmdetection_
https://github.com/Gugan0905/steel-defect-detection
https://github.com/HAOCHENYE/yehc_mmdet
https://github.com/HKUST-KnowComp/DISCOS-commonsense
Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset
https://github.com/HarryHe11/CSD
https://github.com/HarryLui98/DMPEL
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
https://github.com/HimBegginer/test_liver
https://github.com/Hitsaa/Practice
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
https://github.com/Hiwyl/mmdetection-obj
https://github.com/HowToMakeABomb101/Hot2MakeAB0mbSite
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
https://github.com/HowieHwong/TrustLLM
I Think, Therefore I am: Benchmarking Awareness of Large Language Models Using AwareBench
https://github.com/Hshuqin/mmdetection
https://github.com/HuseyinAfser/A-Baseline-Statistical-Method-For-Robust-User-Assisted-Multiple-Segmentation
A Baseline Statistical Method For Robust User-Assisted Multiple Segmentation
https://github.com/IMPLabUniPr/mmdetection-groie
https://github.com/IMvision12/keras-vision-models
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/IOHprofiler/Analyzer
IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics
https://github.com/IOHprofiler/IOHexperimenter
IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics
https://github.com/IOHprofiler/Post-Processing
IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics
https://github.com/IPIU-detection/SEANet
https://github.com/IntelligentSoftwareSystems/SLAMBooster
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM
https://github.com/JHuang-CV/OD
https://github.com/JHuang-CV/mmdetectionV2
https://github.com/JKingKong/mmdetection
https://github.com/Jacfger/simple-stuffs
Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs
https://github.com/JacopoPan/gym-pybullet-drones
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.