ydeng-MLM / ML_MM_Benchmark
3 physical problems + multiple ML architectures benchmarking
☆10Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for ML_MM_Benchmark
- PyTorch implementation of tandem neural networks.☆18Updated 3 years ago
- Here, we use Deep SHAP (or SHAP) to explain the behavior of nanophotonic structures learned by a convolutional neural network (CNN). Refe…☆20Updated 2 years ago
- Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasu…☆136Updated 2 years ago
- Optical Prediction Neural Network -- Emulating Optical Simulations with a Neural Network☆12Updated last year
- GAN-enabled metasuraface design☆55Updated 3 years ago
- ☆27Updated 3 years ago
- Inverse design of metasurface with non-local interations☆32Updated last year
- ☆10Updated 2 years ago
- Global optimization based on generative neural networks☆101Updated 2 years ago
- ☆11Updated 2 years ago
- Deep Learning for metasurface parameter optimization using tensorflow/keras☆79Updated last year
- Adjoint-based optimization and inverse design of photonic devices.☆11Updated 5 years ago
- Generating metasurface layout and simulating metalens as the superposition of the point source☆22Updated 11 months ago
- ☆12Updated 3 years ago
- Training neural networks for inverse design of nanophotonic gratings.☆14Updated 2 years ago
- Automated Metasurface Design by Machine Learning☆14Updated 4 years ago
- This is the SUTD PRT dataset for Metasurface Machine Learning☆15Updated last year
- Optimization and inverse design of photonic crystals using deep reinforcement learning☆60Updated last year
- Simulation and optimization of dielectric metalens with Tidy3D☆25Updated 3 years ago
- "Probabilistic Representation and Inverse Design of Metamaterials Based on a Deep Generative Model with Semi‐Supervised Learning Strategy…☆27Updated 3 years ago
- 深度学习加超表面文献☆21Updated 2 years ago
- Design code of 1D free-from deflector metasurface☆18Updated last year
- Meta_SCMT is a software to inverse design large-area dielectric metasurface. The key factor that differentiates the Meta_SCMT from curren…☆41Updated last year
- IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics, KDD'23☆9Updated last year
- ☆27Updated 3 years ago
- ☆26Updated 2 years ago
- RCWA with inherent automatic differentiation using TensorFlow☆42Updated 3 years ago
- FDTD Solutions Script Library for Metasurface Holographic (FSMH)☆27Updated 3 years ago
- SmartGlass (SG) is a python implementation of a diffractive optical neural network. Currently, it supports training an all-optical classi…☆32Updated last year
- (Tensorflow Version) D-Flat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasu…☆76Updated 9 months ago