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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…
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。
deep learning for image processing including classification and object-detection etc.
Image-to-Image Translation in PyTorch
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
✨🔬 A flexible diffraction simulator for exploring and visualizing physical optics.
PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".
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, …
Flexible simulation package for optical neural networks
Package for KLayout to add integrated optics / silicon photonics functionality (waveguides, netlist extraction, circuit simulations, etc)
This is the open source repository for our IEEE Transactions on Computational Imaging 2022 paper "dO: A differentiable engine for Deep Lens design of computational imaging systems".
Scientific computing library for optics, computer graphics and visual perception.
Code and data for Neural Holography
Python based continuous adjoint optimization wrapper for Lumerical
Optical Neural Networks on PyTorch. diffractive propagation, nonlinear-photonic-activation
Global optimization based on generative neural networks
Pytorch Unofficial implement of paper "All optical machine learning using diffractive deep neural networks" .
A simulation framework for unitary neural networks and photonic devices
A suite of photonic inverse design challenge problems for topology optimization benchmarking
Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural language processing.
Differentiable wave optics simulation library built on PyTorch
Python implementation of rigorous coupled wave analysis, autograd supported for optimization purpose
[Optica] Modeling Off-Axis Diffraction with Least-Sampling Angular Spectrum Method
Supporting code for "End-to-end optical backpropagation for training neural networks".
RCWA with inherent automatic differentiation using TensorFlow