taigaoma1997 / benchmark_in_deLinks
☆14Updated 7 months ago
Alternatives and similar repositories for benchmark_in_de
Users that are interested in benchmark_in_de are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of tandem neural networks.☆22Updated 4 years ago
- 3 physical problems + multiple ML architectures benchmarking☆14Updated 3 years ago
- ☆38Updated 4 years ago
- Generating metasurface layout and simulating metalens as the superposition of the point source☆27Updated last year
- A multi-scale differential optimization framework for diffractive optical systems.☆49Updated last year
- Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasu…☆191Updated 3 years ago
- Pytorch Unofficial implement of paper "All optical machine learning using diffractive deep neural networks" .☆117Updated 4 years ago
- SmartGlass (SG) is a python implementation of a diffractive optical neural network. Currently, it supports training an all-optical classi…☆47Updated 2 years ago
- D2NN TRANNING SCRIPT☆65Updated 6 years ago
- (Tensorflow Version) D-Flat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasu…☆82Updated last year
- ☆17Updated 2 years ago
- Deep Learning for metasurface parameter optimization using tensorflow/keras☆116Updated 2 years ago
- ☆11Updated last year
- FDTD Solutions Script Library for Metasurface Holographic (FSMH)☆36Updated 4 years ago
- Here, we use Deep SHAP (or SHAP) to explain the behavior of nanophotonic structures learned by a convolutional neural network (CNN). Refe…☆21Updated 3 years ago
- code for Large area optimization of meta-lens via data-free machine learning☆24Updated 2 years ago
- 2021 SJTU IPP Project, Metasurface, advised by Prof. Xuyang Lu☆13Updated 3 years ago
- (Non-official) Python simulation of the paper "All-optical machine learning using diffractive deep neural networks"☆16Updated last year
- DFlat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasurface optics, it may b…☆94Updated 4 months ago
- Implementation of discrete version of GS-algorithm for metasurface holography☆12Updated 5 years ago
- ☆10Updated 3 years ago
- Inverse design of nanophotonic devices using generative adversarial networks☆11Updated 2 years ago
- Simulation of the Freespace Optical Convolutional Neural Networks based on PyTorch. It uses Angular Spectrum method to simulate the propa…☆25Updated 2 years ago
- This is the SUTD PRT dataset for Metasurface Machine Learning☆21Updated 2 years ago
- Implementation of image sensing using a 2-layer optical neural network with optical-to-optical nonlinear activations☆37Updated 2 years ago
- 看過All-optical machine learning using diffractive deep neural networks論文,實現代碼☆28Updated 6 years ago
- Meta_SCMT is a software to inverse design large-area dielectric metasurface. The key factor that differentiates the Meta_SCMT from curren…☆47Updated 2 years ago
- ☆11Updated 5 years ago
- RCWA with inherent automatic differentiation using TensorFlow☆51Updated 4 years ago
- GAN-enabled metasuraface design☆63Updated 4 years ago