Alternatives and similar repositories for jaxpi

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

• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆519Updated 2 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.
  ☆327Updated 8 months ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆241Updated 4 years ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆199Updated last year
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆384Updated 3 years ago
• neuraloperator / physics_informed
  ☆506Updated 10 months ago
• mroberto166 / CAMLab-DLSCTutorials
  ☆215Updated last year
• benmoseley / DLSC-2023
  ETH Zürich Deep Learning in Scientific Computing Master's course 2023
  ☆122Updated last year
• lu-group / deeponet-fno
  A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data
  ☆354Updated 2 years ago
• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆699Updated this week
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆270Updated 4 years ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆150Updated 4 years ago
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆241Updated 3 years ago
• shawnrosofsky / PINO_Applications
  Applications of PINOs
  ☆146Updated 3 years ago
• camlab-ethz / ConvolutionalNeuralOperator
  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
  ☆205Updated 2 months ago
• i207M / PINNacle
  Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
  ☆392Updated last year
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆303Updated 8 months ago
• AdityaLab / pinnsformer
  ☆196Updated last year
• Crunch-UQ4MI / neuraluq
  ☆200Updated 10 months ago
• PredictiveIntelligenceLab / PINNsNTK
  ☆110Updated 4 years ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆168Updated 9 months ago
• neuraloperator / graph-pde
  Using graph network to solve PDEs
  ☆431Updated 8 months ago
• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆363Updated 2 years ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆168Updated 3 years ago
• jdtoscano94 / NABLA-SciML
  Physics Informed Machine Learning Tutorials (Pytorch and Jax)
  ☆640Updated last week
• janblechschmidt / PDEsByNNs
  This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…
  ☆181Updated 4 years ago
• skoohy / GPT-PINN
  Generative Pre-Trained Physics-Informed Neural Networks Implementation
  ☆118Updated 5 months ago
• pdearena / pdearena
  ☆288Updated last year
• pdebench / PDEBench
  PDEBench: An Extensive Benchmark for Scientific Machine Learning
  ☆1,056Updated 8 months ago
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆363Updated last year