Deep Learning & Computer Vision from Scratch

20 repos

Educational implementations of deep learning architectures and computer vision techniques, primarily in PyTorch. These repositories focus on learning-oriented implementations of foundational models—including attention mechanisms, pose estimation, shape reconstruction, and behavioral learning—with an emphasis on understanding how these systems work rather than production optimization. The cluster emphasizes hands-on, tutorial-style code that breaks down complex concepts like transformers, 3D shape representations, and multi-modal learning into approachable implementations.

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