Stars
Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.
A Zotero plugin adding text to speech (TTS) functionality to various screens
Scientific computing library for optics, computer graphics and visual perception.
Free ChatGPT&DeepSeek API Key,免费ChatGPT&DeepSeek API。免费接入DeepSeek API和GPT4 API,支持 gpt | deepseek | claude | gemini | grok 等排名靠前的常用大模型。
Package for KLayout to add integrated optics / silicon photonics functionality (waveguides, netlist extraction, circuit simulations, etc)
Python library for designing and producing masks for Micro Optical Elements
✨🔬 A flexible diffraction simulator for exploring and visualizing physical optics.
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Resources for phase recovery (also called phase imaging, phase retrieval, or phase reconstruction)
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Differentiable wave optics simulation library built on PyTorch
Image-to-Image Translation in PyTorch
Simple ray tracing library in Python for optical design that considers simple optical elements (with ABCD ray matrices) but also finite diameters of elements to calculate aperture and field stops, …
Python - 100天从新手到大师
Textbook: Lukas Chrostowski, Michael Hochberg, "Silicon Photonics Design", Cambridge University Press 2015
deep learning for image processing including classification and object-detection etc.
Repository for "Multilevel Diffractive Optics Design".
Implementation of model-free computational optics to a wide range of tasks.
Instructional implementation of Physics-Aware Training (PAT) with demonstrations on simulated experiments.
[Optica] Modeling Off-Axis Diffraction with Least-Sampling Angular Spectrum Method
SituLab / DescatterNet-for-unseen-real-world-objects
Forked from LittleMount/DescatterNet-for-unseen-real-world-objectsIn this study, we propose a deep-learning-based method to image through dynamic scattering media in a non-invasive manner under incoherence illumination and obtain superior restoration result.
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
Collection of hologram optmization algorithms, inclusing alternating projection, quasi-Newton method, stochastic gradient descent