This is a package with state of the art methods for Explainable AI for computer vision. This can be used for diagnosing model predictions, either in production or while developing models. The aim is ...

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Abstract: Addressing the limitations inherent in conventional Power Quality Disturbance (PQD) identification systems, particularly regarding the restricted information obtainable from single image ...

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...

Abstract: A unified AI-based approach in classification and grading for multiple fruits could effectively result in getting the quality of apples, bananas, and oranges, with a classification accuracy ...

zheng-yuwei / PyTorch-Image-Classification Public Notifications You must be signed in to change notification settings Fork 12 Star 84 master ...

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...

ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...

This is a compelling opportunity to join a market leader where you will work at the intersection of data, machine learning, and business impact, using advanced analytics to drive strategic ...

2.1 CT image classification Recent research in biomedical imaging has explored a wide range of classification approaches for tumor detection in different organs, including the brain, lung, colon, ...