jla524/fromthetensor
From the Tensor to Stable Diffusion, a rough outline for a 10 week course.
This course outline helps aspiring Machine Learning Engineers understand the foundational principles and practical implementation of deep learning models. It takes you from basic concepts like Tensors and neural networks to building complex models for image and language tasks, culminating in projects like Stable Diffusion. You'll gain hands-on experience by implementing key research papers, understanding what goes into modern AI applications, and how to build them from the ground up.
1,076 stars.
Use this if you are an aspiring Machine Learning Engineer who wants to understand and implement advanced AI models from first principles, rather than just using pre-built libraries.
Not ideal if you are looking for a high-level overview of AI concepts without getting into the technical details of model implementation.
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Mar 11, 2026
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