A program using pytorch to simulate diffracive deep nerual network (D2NN), containing updates (relative to the original paper) of incoherent propagation, parallel computation, nonlinear activation, changing of propagating distance.
Reproduction and nonlinear extension of Lin et al. 2018 diffractive deep neural networks, with classification, imaging, and phase-plate export workflows.
Sovereign pure-Rust (zero-dep) differentiable wave-optics simulation + diffractive-optical-network design toolkit. Verified decoder, optical security seal, multi-focal AR combiner, all-optical D2NN, optical matmul, photonic attention, fabricable mask export. cargo test = the oracle.
PyTorch reproduction workspace for two Photonics Research papers on Fresnel diffractive neural networks from the Jian Zi and Lei Shi group at Fudan University.
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