Alternatives and similar repositories for jaxpi

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

• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆210Updated 3 years ago
• neuraloperator / physics_informed
  ☆454Updated 2 months ago
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆345Updated 2 years ago
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆417Updated last month
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆229Updated 3 years ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆165Updated last year
• lu-group / deeponet-fno
  DeepONet & FNO (with practical extensions)
  ☆300Updated last year
• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆505Updated this week
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆135Updated 3 years ago
• i207M / PINNacle
  Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
  ☆317Updated 9 months ago
• 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
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆258Updated this week
• mroberto166 / CAMLab-DLSCTutorials
  ☆197Updated 10 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
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆193Updated 2 years ago
• neuraloperator / graph-pde
  Using graph network to solve PDEs
  ☆392Updated last year
• okada39 / pinn_wave
  Physics Informed Neural Network (PINN) for the wave equation.
  ☆170Updated 4 years ago
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆278Updated last year
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆305Updated 11 months ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆141Updated 2 years ago
• Crunch-UQ4MI / neuraluq
  ☆180Updated 2 months ago
• PredictiveIntelligenceLab / PINNsNTK
  ☆97Updated 3 years ago
• benmoseley / DLSC-2023
  ETH Zürich Deep Learning in Scientific Computing Master's course 2023
  ☆112Updated 10 months ago
• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆338Updated last year
• shawnrosofsky / PINO_Applications
  Applications of PINOs
  ☆126Updated 2 years ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆144Updated last month
• jayroxis / PINNs
  PyTorch Implementation of Physics-informed Neural Networks
  ☆620Updated last year
• jdtoscano94 / Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_PIKANs_DeepONets
  Physics Informed Machine Learning Tutorials (Pytorch and Jax)
  ☆555Updated 3 months ago
• AdityaLab / pinnsformer
  ☆131Updated 7 months ago
• pierremtb / PINNs-TF2.0
  TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
  ☆259Updated last year