Machine Learning with Python
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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.

Admin: @HusseinSheikho || @Hussein_Sheikho
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Transformers become more understandable when you can "poke" the model directly. 🧠✨

Transformer Explainer is an interactive visualization tool for studying how text-generating transformer-based models, such as GPT, work. πŸ”

It helps connect the architecture with real behavior by running a live GPT-2 directly in the browser, allowing you to enter your own text and showing how the internal components work together to predict the next tokens. πŸ”„πŸ“

Key features: 🌟

- Live GPT-2 in the browser - experiment without setting up a separate model server πŸ’»
- Your own text - try your own prompts and see how the model processes them ✍️
- Internal components - observe the operations working inside the transformer πŸ”§
- Focus on predicting the next token - link each visual step to the model's predictions 🎯
- Local development - clone the repository, install dependencies, and run via npm for in-depth study βš™οΈ

It's open-source (MIT license). πŸ“œ

https://github.com/poloclub/transformer-explainer

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Machine Learning with Python
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Understanding Datasets πŸ˜‰
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⛓️ Link to the book
https://arxiv.org/abs/2606.24937
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