A five-lecture course building an SO(3)-equivariant neural network from first principles—rotation symmetry, irreducible representations, Clebsch–Gordan couplings. NumPy and SymPy only, no deep-learning framework. Notes, runnable notebooks and solutions, released weekly.
numpy computational-physics sympy group-theory lecture-notes teaching-materials so3 geometric-deep-learning clebsch-gordan equivariant-neural-networks physics-informed-ai symmetry-aware-ai
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Updated
Sep 9, 2026 - Jupyter Notebook