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🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
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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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The machine learning toolkit for time series analysis in Python
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🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
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Explore the skillTrusted-AI
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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Explore the skillGoogleCloudPlatform
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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Explore the skillLightning-AI
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/
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TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal ha…
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C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON, SVE for ARM, HVX for Hexagon
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A Python package to assess and improve fairness of machine learning models.
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Explore the skillA library for training and deploying machine learning models on Amazon SageMaker
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Explore the skillAccenture
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org