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* [Workbench](https://apps.gnome.org/Workbench) - Learn / Experiment with Gnome / [GitHub](https://github.com/workbenchdev/Workbench)
* [⁠aman.ai](https://aman.ai/) - Artificial Intelligence / Deep Learning Stanford Notes
* [LLM Visualization](https://bbycroft.net/llm), [Machine Learning Roadmap](https://rentry.org/machine-learning-roadmap), [SAAYN](https://spreadsheets-are-all-you-need.ai/), [machine-learning-zoomcamp](https://github.com/DataTalksClub/machine-learning-zoomcamp), [ML Engineering](https://github.com/stas00/ml-engineering), [udlbook](https://udlbook.github.io/udlbook/) / [GitHub](https://github.com/udlbook/udlbook/), [ML Visualized](https://ml-visualized.com/) / [GitHub](https://github.com/gavinkhung/machine-learning-visualized) or [LLM Course](https://github.com/mlabonne/llm-course) - Learn Machine Learning
* [⁠Transformer Explainer](https://poloclub.github.io/transformer-explainer/) - ⁠Transformer Visuzliation
* [Approaching (Almost) Any Machine Learning Problem](https://files.catbox.moe/b34jd4.pdf) - Machine Learning Problem-Solving Book
* [Deep ML](https://www.deep-ml.com/) - Solve Machine Learning Problems
* [AI-For-Beginners](https://github.com/microsoft/AI-For-Beginners), [Beginner Guides](https://microsoft.github.io/generative-ai-for-beginners/) or [HF Learn](https://huggingface.co/learn) - Machine Learning Guides