Alternatives and similar repositories for IDToolkit

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

• dongjin-seo2020 / AdjointDiffusion
  Code Implementation of AdjointDiffusion: a physics-guided and fabrication-aware optimization of photonic devices
  ☆21Updated last week
• BensonRen / BDIMNNA
  ☆22Updated last year
• renjieli08 / Photonics-FDTD-DRL
  Optimization and inverse design of photonic crystals using deep reinforcement learning
  ☆87Updated 2 years ago
• jonfanlab / GLOnet
  Global optimization based on generative neural networks
  ☆120Updated 3 years ago
• yangdeng-EML / ML_MM_Benchmark
  3 physical problems + multiple ML architectures benchmarking
  ☆14Updated 3 years ago
• JeremieMelo / NeurOLight
  A Neural Operator-based Integrated Photonic Device Simulation Framework, NeurOLight NeurIPS 2022
  ☆49Updated 2 years ago
• tfp-photonics / neurop_invdes
  Neural operator surrogates for electromagnetic inverse design
  ☆49Updated last year
• zhengqigao / BayesOpt-JLT2022
  Code for our paper 'Automatic Synthesis of Broadband Silicon Photonic Devices via Bayesian Optimization'
  ☆15Updated last year
• samuelkim314 / DeepBO
  Deep Bayesian Optimization for Problems with High-Dimensional Structure
  ☆16Updated 3 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
• limjoowon / maxwellnet
  ☆65Updated 3 years ago
• hammer-wang / tandem_neural_network
  PyTorch implementation of tandem neural networks.
  ☆22Updated 4 years ago
• fancompute / workshop-invdesign
  📐 Workshop material for optical inverse design and automatic differentiation
  ☆116Updated 5 years ago
• solgaardlab / phox
  Base repository for simulation and control of photonic devices
  ☆12Updated 2 years ago
• BensonRen / AEM_DIM_Bench
  Repo for paper "Inverse deep learning methods and benchmarks for artificial electromagnetic material design"
  ☆18Updated 3 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…
  ☆199Updated 3 years ago
• pcdgan / PcDGAN
  PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design
  ☆30Updated 4 years ago
• tennisonliu / LLAMBO
  Official Repository for LLAMBO "Large Language Models to Enhance Bayesian Optimization"
  ☆99Updated last year
• mcmahon-lab / Physics-Aware-Training
  Instructional implementation of Physics-Aware Training (PAT) with demonstrations on simulated experiments.
  ☆309Updated last year
• samuelkim314 / DeepSymReg
  Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
  ☆76Updated 2 years ago
• esa / NIDN
  Neural Inverse Design of Nanostructures
  ☆46Updated 2 years ago
• SymposiumOrganization / NeuralSymbolicRegressionThatScales
  Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"
  ☆105Updated 4 months ago
• erfan6511 / GNN-for-Metasurfaces
  ☆15Updated 3 years ago
• jonfanlab / metachat
  ☆26Updated 3 weeks ago
• ClaraWanjura / neuroscatter
  Code for "Fully Non-Linear Neuromorphic Computing with Linear Wave Scattering" (C.C. Wanjura and F. Marquardt).
  ☆11Updated last year
• jonfanlab / GAN_for_metasurface
  GAN-enabled metasuraface design
  ☆65Updated 4 years ago
• kc-ml2 / meent
  Electromagnetic simulation (RCWA) & optimization package in Python
  ☆109Updated last year
• google / ceviche-challenges
  A suite of photonic inverse design challenge problems for topology optimization benchmarking
  ☆117Updated last year
• FiodarM / InvDesignNet
  Training neural networks for inverse design of nanophotonic gratings.
  ☆19Updated 4 years ago
• solgaardlab / neurophox
  A simulation framework for unitary neural networks and photonic devices
  ☆117Updated 4 years ago