Alternatives and similar repositories for CAMLab-DLSCTutorials

Users that are interested in CAMLab-DLSCTutorials are comparing it to the libraries listed below

• benmoseley / DLSC-2023
  ETH Zürich Deep Learning in Scientific Computing Master's course 2023
  ☆116Updated 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.
  ☆262Updated 4 months ago
• PredictiveIntelligenceLab / jaxpi
  ☆342Updated this week
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆447Updated 2 months ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆221Updated 3 years ago
• benmoseley / harmonic-oscillator-pinn-workshop
  Introductory workshop on PINNs using the harmonic oscillator
  ☆128Updated 4 months ago
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆362Updated 2 years ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆175Updated last year
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆246Updated 3 years ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆140Updated 3 years ago
• shawnrosofsky / PINO_Applications
  Applications of PINOs
  ☆133Updated 2 years ago
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆209Updated 2 years ago
• lu-group / deeponet-fno
  A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data
  ☆321Updated 2 years ago
• rezaakb / pinns-tf2
  PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
  ☆138Updated last year
• Crunch-UQ4MI / neuraluq
  ☆189Updated 5 months ago
• janblechschmidt / PDEsByNNs
  This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…
  ☆178Updated 4 years ago
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆326Updated last year
• alexpapados / Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics
  Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…
  ☆186Updated 2 years ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆150Updated 3 years ago
• jdtoscano94 / Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_PIKANs_DeepONets
  Physics Informed Machine Learning Tutorials (Pytorch and Jax)
  ☆581Updated 6 months ago
• okada39 / pinn_wave
  Physics Informed Neural Network (PINN) for the wave equation.
  ☆184Updated 5 years ago
• madagra / basic-pinn
  Basic implementation of physics-informed neural networks for solving differential equations
  ☆94Updated 8 months ago
• neuraloperator / physics_informed
  ☆478Updated 5 months ago
• skoohy / GPT-PINN
  Generative Pre-Trained Physics-Informed Neural Networks Implementation
  ☆104Updated 3 weeks ago
• lululxvi / tutorials
  Tutorials on deep learning, Python, and dissipative particle dynamics
  ☆195Updated 3 years ago
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆287Updated last year
• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆350Updated last year
• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆564Updated last week
• camlab-ethz / ConvolutionalNeuralOperator
  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
  ☆189Updated 4 months ago
• pierremtb / PINNs-TF2.0
  TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
  ☆261Updated last year