PyTorch implementation of JiT https://arxiv.org/abs/2511.13720

"AI-Trader: Can AI Beat the Market?" Live Trading: https://hkuds.github.io/AI-Trader/

Comprehensive optical design, optimization, and analysis in Python, including GPU-accelerated and differentiable ray tracing via PyTorch.

Wrapper around the Zemax OpticStudio API. Provides a more pythonic and intuitive way to interact with the ZOS-API through python using a .NET connection.

The main function of this repository is to distribute the component designs of the original chinrest to the ophthalmic imaging community.

An easy-to-use, flexible website template for labs.

ILGPU JIT Compiler for high-performance .Net GPU programs

A useful set of tools for Adaptive Optics in Python

Rangayyan and Krishnan, Biomedical Signal Analysis, 3rd Edition, Wiley/IEEE Press

PyXOpto is a collection of python tools for performing Monte Carlo simulations of light propagation in turbid media.

MC Dataset is an extensive collection of datasets computed with PyXOpto Monte Carlo light propagation models. The readily available datasets are computed for a vast variety of sources, detectors an…

A Python implementation of HajiRassouliha et al SGGC based subpixel image registration algorithm

MCML based simulation which simulates focusing Gaussian beams