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MAIF
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
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2026년 10월 14일부터 이 사이트가 반환한 파일입니다. 로그인 계정별로 같은 Skill은 UTC 하루에 한 번 집계합니다. 외부 다운로드, 명령 복사, 설치는 제외합니다. 최대 5분 지연됩니다.
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Explore the skillMAIF
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
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🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
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A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
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Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.
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🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
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Machine learning metrics for distributed, scalable PyTorch applications.
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Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/