Modular and scalable computational imaging in Python with GPU/out-of-core computing.
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Updated
Apr 2, 2025 - Python
Modular and scalable computational imaging in Python with GPU/out-of-core computing.
PyTorch implementation of the Hessian-free optimizer
Matrix-free implementation of accelerated projected gradient descent for large-scale non-negative least-squares problems.
Matrix-free 3D SIMP topology optimization with fused gather-GEMM-scatter CUDA kernels on NVIDIA RTX 4090. Companion code for arXiv:2604.18020.
A library to build up lazily evaluated expressions of linear transforms for efficient scientific computing. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711022000218
Quantum hamiltonian simulation with matrix-free linear operators
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