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🤖-Artificial-Intelligence.md

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* [MMDeploy](https://mmdeploy.readthedocs.io/en/latest/) - Deep Learning Model Deployment Toolset / [GitHub](https://github.com/open-mmlab/mmdeploy)
* [ChatGPT-Next-Web](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web) - Cross-Platform ChatGPT / Gemini UI
* [Nixified](https://nixified.ai/) - Nix Flake for AI Projects
* [Cyberbotics](https://cyberbotics.com/) - Robot Simulator
* [Cyberbotics](https://cyberbotics.com/) - Robot Simulator
* [⁠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/), [mlsysbook](https://www.mlsysbook.ai/), [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
* [ML Course Notes](https://github.com/dair-ai/ML-Course-Notes) - Machine Learning Course Notes
* [100-Days-Of-ML-Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code), [DeepLearningWizard](https://www.deeplearningwizard.com/), [DeepCourse](https://arthurdouillard.com/deepcourse/), [UFLDL](http://ufldl.stanford.edu/tutorial/), [IAILab](https://iailab.kaist.ac.kr/teaching/deep-learning), [Handson ML3](https://github.com/ageron/handson-ml3), [DeepLearning.ai](https://www.deeplearning.ai/) or [Practical Deep Learning](https://course.fast.ai/) - Machine / Deep Learning Courses
* [minitorch](https://github.com/minitorch/minitorch) - Machine Learning Engineering Course Code
* [ML YouTube Courses](https://github.com/dair-ai/ML-YouTube-Courses) or [Deep Learning Drizzle](https://deep-learning-drizzle.github.io/) - Machine Learning Courses on YouTube