Alternatives and similar repositories for Siren_PINNs:

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

• shawnrosofsky / HAL-Physics-Informed-AI-Tutorial
  ☆16Updated 3 years ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆33Updated 3 years ago
• qiauil / ConvDO
  Convolutional Differential Operators for Physics-based Deep Learning Study
  ☆24Updated 8 months ago
• yifanc96 / NonLinPDEs-GPsolver
  Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes
  ☆39Updated 6 months ago
• Zhengyu-Huang / Operator-Learning
  ☆41Updated 2 years ago
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆66Updated last year
• brekmeuris / DrMZ.jl
  Deep renormalized Mori-Zwanzig (DrMZ) Julia package.
  ☆14Updated last year
• pnkraemer / million-dimension-prob-ode-solver-experiments
  ☆10Updated 2 years ago
• alexscheinker / PCNN
  Physics Constrained Neural Networks
  ☆11Updated 2 years ago
• dc3042 / CROM_offline_training
  ☆22Updated 2 years ago
• jorgeurban / self_scaled_algorithms_pinns
  ☆16Updated last month
• peterchencyc / CROM_online_deployment
  ☆14Updated 2 years ago
• astanziola / fourier-neural-operator-flax
  An unofficial implementation of the Fourier Neural Operator in Flax
  ☆17Updated 11 months ago
• marvinpfoertner / linpde-gp
  Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
  ☆25Updated 11 months ago
• NBoulle / RationalNets
  Code for the paper "Rational neural networks", NeurIPS 2020
  ☆28Updated 4 years ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆36Updated 2 years ago
• optray / MCNP
  This repository contains the code for the paper: Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation (IEEE T…
  ☆18Updated last month
• Ceyron / exponax
  Efficient Differentiable n-d PDE solvers in JAX.
  ☆28Updated 5 months ago
• stnamjef / SPINN
  Source code for Separable PINN
  ☆70Updated last year
• HewlettPackard / separable-operator-networks
  Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
  ☆26Updated 5 months ago
• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆68Updated 5 months ago
• merantix-momentum / gnn-bvp-solver
  Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"
  ☆20Updated 9 months ago
• CVC-Lab / RobustPINNs
  ☆21Updated 2 years ago
• PhIMaL / DeePyMoD_torch
  Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
  ☆32Updated last year
• YichengDWu / Sophon.jl
  Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks
  ☆55Updated 3 weeks ago
• ykasten / Convergence-Rate-NN-Different-Frequencies
  ☆9Updated 5 years ago
• slimgroup / dfno
  Distributed Fourier Neural Operators
  ☆29Updated 2 years ago
• tum-pbs / unrolling
  ☆16Updated 4 months ago
• htlambley / functional_autoencoders
  Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…
  ☆13Updated 4 months ago
• Ceyron / pdequinox
  Neural Emulator Architectures in JAX.
  ☆16Updated 5 months ago