Alternatives and similar repositories for wan

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

• paulvoliva / XNODE-WAN-PDE-solver
  We develop a custom ML routine XNODE-WAN to solve parabolic PDEs with high efficiency.
  ☆11Updated 2 years ago
• lu-group / deeponet-fno
  DeepONet & FNO (with practical extensions)
  ☆303Updated last year
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆141Updated 2 years ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆210Updated 3 years ago
• li-Pingan / fourier-neural-operator
  ☆43Updated 2 years ago
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆258Updated this week
• ZeyuJia / DeepRitzMethod
  Group project for Deep Learning: Algorithms and Applications in Peking University 2018 Spring. This is a brief survey, discussion and imp…
  ☆44Updated 6 years ago
• junbinhuang / DeepRitz
  Implementation of the Deep Ritz method and the Deep Galerkin method
  ☆55Updated 5 years ago
• lululxvi / tutorials
  Tutorials on deep learning, Python, and dissipative particle dynamics
  ☆191Updated 2 years ago
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆345Updated 2 years ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆165Updated last year
• janblechschmidt / PDEsByNNs
  This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…
  ☆176Updated 4 years ago
• lu-group / pinn-sampling
  Non-adaptive and residual-based adaptive sampling for PINNs
  ☆78Updated 2 years ago
• AdityaLab / pinnsformer
  ☆131Updated 7 months ago
• neuraloperator / physics_informed
  ☆454Updated 2 months ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆135Updated 3 years ago
• ADharaUTEXAS123007 / FNO
  Fourier_neural_operator
  ☆14Updated 2 years ago
• xlliu2017 / MgNO
  ☆17Updated last year
• camlab-ethz / AI_Science_Engineering
  This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.
  ☆224Updated 3 weeks ago
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆307Updated 11 months ago
• Crunch-UQ4MI / neuraluq
  ☆180Updated 2 months ago
• neuraloperator / graph-pde
  Using graph network to solve PDEs
  ☆392Updated last year
• Sysuzqs / PDENNEval
  ☆50Updated 5 months ago
• camlab-ethz / ConvolutionalNeuralOperator
  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
  ☆177Updated last month
• thu-ml / GNOT
  ☆73Updated last year
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆62Updated last month
• thuml / Transolver
  About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…
  ☆174Updated last week
• yizheng-wang / Research-on-Solving-Partial-Differential-Equations-of-Solid-Mechanics-Based-on-PINN
  This is the code of my master thesis.
  ☆124Updated last month
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆53Updated 2 years ago
• YihaoHu / Neural_PDE
  ☆11Updated 3 years ago