Machine-Learning-Tokyo/Interactive_Tools
A curated list of interactive browser-based tools for learning and visualizing machine learning, deep learning, and math concepts including Transformer and BERT models.
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This repository aggregates interactive visualization tools for ML education and interpretability. It compiles links to tools like Transformer Explainer (which runs a live GPT-2 model in the browser), BertViz, CNN Explainer, and other interactive demos that help users understand how neural networks operate internally. The collection also includes mathematical visualization tools for probability, Bayesian inference, and Gaussian processes.