Alternatives and similar repositories for wavetorch

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

• fancompute / ceviche
  Electromagnetic Simulation + Automatic Differentiation
  ☆367Updated last year
• fancompute / neuroptica
  Flexible simulation package for optical neural networks
  ☆239Updated 5 years ago
• bencbartlett / neural-maxwell
  A generative model for computing electromagnetic field solutions
  ☆60Updated 2 years ago
• mcmahon-lab / Physics-Aware-Training
  Instructional implementation of Physics-Aware Training (PAT) with demonstrations on simulated experiments.
  ☆297Updated 8 months ago
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆474Updated 4 years ago
• fancompute / angler
  Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices
  ☆164Updated 5 years ago
• maziarraissi / DeepHPMs
  Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
  ☆279Updated 2 years ago
• fancompute / workshop-invdesign
  📐 Workshop material for optical inverse design and automatic differentiation
  ☆112Updated 5 years ago
• ZichaoLong / PDE-Net
  PDE-Net: Learning PDEs from Data
  ☆317Updated 4 years ago
• EmilienDupont / augmented-neural-odes
  Pytorch implementation of Augmented Neural ODEs
  ☆542Updated 2 years ago
• jonfanlab / GLOnet
  Global optimization based on generative neural networks
  ☆110Updated 2 years ago
• fancompute / qpga
  Simulations of photonic quantum programmable gate arrays
  ☆107Updated 4 years ago
• titu1994 / tfdiffeq
  Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
  ☆218Updated 4 years ago
• fancompute / fdfdpy
  Pure Python implementation of the finite difference frequency domain (FDFD) method for electromagnetics
  ☆62Updated 6 years ago
• google-research / neural-structural-optimization
  Neural reparameterization improves structural optimization
  ☆123Updated 3 years ago
• edouardoyallon / pyscatwave
  Fast Scattering Transform with CuPy/PyTorch
  ☆296Updated 5 years ago
• timudk / SPDENN
  A Discussion on Solving Partial Differential Equations using Neural Networks
  ☆66Updated 5 years ago
• Photon-AI-Research / NeuralSolvers
  Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…
  ☆151Updated 5 months ago
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,505Updated last year
• williamFalcon / pytorch-complex-tensor
  Unofficial complex tensor and scalar support for Pytorch
  ☆79Updated 2 years ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆281Updated 3 years ago
• PyLops / pylops
  PyLops – A Linear-Operator Library for Python
  ☆475Updated this week
• analysiscenter / pydens
  PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
  ☆309Updated last year
• mandubian / neural-ode
  Neural Ordinary Differential Equation
  ☆101Updated 6 years ago
• google-deepmind / spectral_inference_networks
  Implementation of Spectral Inference Networks, ICLR 2019
  ☆172Updated 6 years ago
• ucl-bug / jwave
  A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs
  ☆171Updated 9 months ago
• fancompute / legume
  🌱 Guided-mode expansion of photonic crystal slabs
  ☆124Updated 4 months ago
• eth-nn-physics / nn_physical_concepts
  ☆175Updated 2 years ago
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆603Updated 2 years ago
• JSeam2 / Neural-Ordinary-Differential-Equations
  Sample implementation of Neural Ordinary Differential Equations
  ☆263Updated 6 years ago