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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/RuoyuChen10/objectdetection-saliency-maps

Black-box Explanation of Object Detectors via Saliency Maps

https://github.com/ZJU-ACES-ISE/ChatUniTest

CoverUp: Effective High Coverage Test Generation for Python

https://github.com/brain-research/tensorfuzz

TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing

https://github.com/dlshriver/tensorfuzz

TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing

https://github.com/hysts/pytorch_D-RISE

Black-box Explanation of Object Detectors via Saliency Maps

https://github.com/mahshidhelali/RL-Assisted-Performance-Testing

An Autonomous Performance Testing Framework using Self-Adaptive Fuzzy Reinforcement Learning

https://github.com/martinjurkovic/syntherela

IRG: Generating Synthetic Relational Databases using Deep Learning with Insightful Relational Understanding

https://github.com/pennswood/fairlay-ml

Fairness-aware Configuration of Machine Learning Libraries

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.