Near-linear scaling neural PDE solver for large unstructured meshes via multi-scale attention with ball-tree partitioning
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Updated
May 10, 2026 - Python
Near-linear scaling neural PDE solver for large unstructured meshes via multi-scale attention with ball-tree partitioning
KNN using brute force and ball trees implemented in Python/Cython
Program to replace pixels with the existing DMC threads
As part of the UCSanDiego online course "Machine Learning Fundamentals"
Book Recommendation with K-means clustering
class for BallTree data structure
Finding geographical neighbors of neighbors fast
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