This repository is a hands-on exploration of generative modeling — from sampling challenging 2D distributions to generating structured time series with modern transformers.
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Updated
Feb 28, 2026 - Jupyter Notebook
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ml-tutorials
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📖 An introduction to vector embeddings in machine learning: how data like words or images are represented in multi-dimensional space to capture meaning and relationships, with applications in NLP, semantic analysis, and personalization.
language-translation learning-resources ai-education vector-embeddings contextual-learning ml-tutorials
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Dec 31, 2024
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