Alternatives and similar repositories for IDToolkit

Users that are interested in IDToolkit are comparing it to the libraries listed below

• ydeng-MLM / ML_MM_Benchmark
  3 physical problems + multiple ML architectures benchmarking
  ☆11Updated 2 years ago
• Arcadianlee / Photonics-FDTD-DRL
  Optimization and inverse design of photonic crystals using deep reinforcement learning
  ☆79Updated 2 years ago
• erfan6511 / GNN-for-Metasurfaces
  ☆11Updated 2 years ago
• zhengqigao / BayesOpt-JLT2022
  Code for our paper 'Automatic Synthesis of Broadband Silicon Photonic Devices via Bayesian Optimization'
  ☆13Updated last year
• taigaoma1997 / benchmark_in_de
  ☆11Updated 2 weeks ago
• BensonRen / AEM_DIM_Bench
  Repo for paper "Inverse deep learning methods and benchmarks for artificial electromagnetic material design"
  ☆16Updated 2 years ago
• jonfanlab / GLOnet
  Global optimization based on generative neural networks
  ☆108Updated 2 years ago
• hammer-wang / tandem_neural_network
  PyTorch implementation of tandem neural networks.
  ☆20Updated 4 years ago
• Raman-Lab-UCLA / Explainability_for_Photonics
  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
• esa / NIDN
  Neural Inverse Design of Nanostructures
  ☆40Updated last year
• dongjin-seo2020 / 1DFreeFormDQN
  Design code of 1D free-from deflector metasurface
  ☆19Updated last year
• jonfanlab / GAN_for_metasurface
  GAN-enabled metasuraface design
  ☆59Updated 4 years ago
• Raman-Lab-UCLA / Multiclass_Metasurface_InverseDesign
  Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasu…
  ☆163Updated 2 years ago
• BensonRen / BDIMNNA
  ☆22Updated 11 months ago
• jonfanlab / waveynet
  A hybrid data- and physics-augmented CNN that predicts EM field distributions with ultrafast speed and high accuracy for entire classes o…
  ☆20Updated 2 years ago
• tfp-photonics / neurop_invdes
  Neural operator surrogates for electromagnetic inverse design
  ☆39Updated last year
• hincz-lab / machine-learning-for-metamaterials
  ☆30Updated 2 years ago
• SensongAn / Meta-atoms-data-sharing
  ☆30Updated 4 years ago
• yingtaoluo / Probabilistic-density-network
  Probability-density-based deep learning paradigm for the fuzzy design of functional metastructures. Research AAAS & NeurIPS ML4PS.
  ☆20Updated 2 years ago
• airPeter / SmartGlass
  SmartGlass (SG) is a python implementation of a diffractive optical neural network. Currently, it supports training an all-optical classi…
  ☆42Updated 2 years ago
• hcw-00 / Probabilistic_representation_and_inverse_design_tf
  "Probabilistic Representation and Inverse Design of Metamaterials Based on a Deep Generative Model with Semi‐Supervised Learning Strategy…
  ☆31Updated 3 years ago
• JeremieMelo / NeurOLight
  A Neural Operator-based Integrated Photonic Device Simulation Framework, NeurOLight NeurIPS 2022
  ☆40Updated last year
• zameerbharwani / Deep-Learning-for-Metasurface-Optimization
  Deep Learning for metasurface parameter optimization using tensorflow/keras
  ☆100Updated last year
• kc-ml2 / meent
  Electromagnetic simulation (RCWA) & optimization package in Python
  ☆82Updated 4 months ago
• flexcompute / metalens
  Simulation and optimization of dielectric metalens with Tidy3D
  ☆27Updated 3 years ago
• SensongAn / Metasurface-mutual-coupling
  ☆14Updated 4 years ago
• solgaardlab / phox
  Base repository for simulation and control of photonic devices
  ☆12Updated 2 years ago
• gabrielecoli / CNN-based-Inverse-Design
  All the codes and data used in "Inverse design of soft materials via a deep-learning-based evolutionary strategy", by G. M. Coli, E. Boat…
  ☆11Updated 3 years ago
• demroz / pinn-ms
  code for Large area optimization of meta-lens via data-free machine learning
  ☆20Updated last year
• twhughes / PhD_Thesis
  Adjoint-based optimization and inverse design of photonic devices.
  ☆12Updated 5 years ago