Modular and scalable computational imaging in Python with GPU/out-of-core computing.
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Apr 2, 2025 - Python
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Modular and scalable computational imaging in Python with GPU/out-of-core computing.
PyTorch implementation of the Hessian-free optimizer
Stability, bifurcation, and sensitivity analysis for Nek5000
Second-Order Methods in JAX
One matrix-free spectral primitive for an operator's whole spectral world — densities, moments, free convolution, pseudospectra, the Brown measure, dequantization diagnostics. Spans 18+ fields of math & physics. pip install resona
Matrix-free implementation of accelerated projected gradient descent for large-scale non-negative least-squares problems.
Light-weight linear operators in JAX with plum-dispatch and without additional dependencies
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
Do we really need quantum computing? A runnable essay: one matrix-free dial — the effective rank Φ₁ — flags which quantum speedups survive a classical attack, and which were never quantum at all.
Matrix-free 3D SIMP topology optimization with fused gather-GEMM-scatter CUDA kernels on NVIDIA RTX 4090. Companion code for arXiv:2604.18020.
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