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Captum is an open-source library for model interpretability in PyTorch. It supports interpretability across various modalities, including vision and text, for most PyTorch models.
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Captum is an open-source PyTorch library designed for model interpretability, allowing users to understand the predictions of their AI models. It supports a wide range of modalities, including vision and text, making it versatile for different types of machine learning applications. Built specifically for PyTorch, Captum integrates seamlessly with most PyTorch models, requiring minimal modifications to existing neural networks. The library is extensible, providing a generic framework for interpretability research, which enables developers and researchers to easily implement and benchmark new algorithms. Captum is a valuable tool for anyone looking to gain deeper insights into their PyTorch models' decision-making processes.
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Not publicly disclosed. Check captum.ai for current pricing.
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