Alternatives and similar repositories for DLSC-2023:

Users that are interested in DLSC-2023 are comparing it to the libraries listed below

• mroberto166 / CAMLab-DLSCTutorials
  ☆190Updated 7 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.
  ☆184Updated 3 months ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆157Updated last year
• Crunch-UQ4MI / neuraluq
  ☆169Updated last year
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆193Updated 3 years ago
• rezaakb / pinns-tf2
  PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
  ☆105Updated 9 months ago
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆211Updated 3 years ago
• AdityaLab / pinnsformer
  ☆115Updated 5 months ago
• PredictiveIntelligenceLab / PINNsNTK
  ☆90Updated 3 years ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆128Updated 3 years ago
• lu-group / deeponet-fno
  DeepONet & FNO (with practical extensions)
  ☆269Updated last year
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆323Updated 2 years ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆130Updated 2 years ago
• PredictiveIntelligenceLab / jaxpi
  ☆274Updated last week
• madagra / basic-pinn
  Basic implementation of physics-informed neural networks for solving differential equations
  ☆83Updated 2 months ago
• isds-neu / EQDiscovery
  Physics-informed learning of governing equations from scarce data
  ☆137Updated last year
• soanagno / rba-pinns
  Original implementation of fast PINN optimization with RBA weights
  ☆48Updated 5 months ago
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆362Updated 3 months ago
• PML-UCF / pinn_ode_tutorial
  ☆122Updated 2 years ago
• 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…
  ☆169Updated 2 years ago
• shawnrosofsky / PINO_Applications
  Applications of PINOs
  ☆119Updated 2 years ago
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆180Updated 2 years ago
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆292Updated 8 months ago
• lululxvi / tutorials
  Tutorials on deep learning, Python, and dissipative particle dynamics
  ☆180Updated 2 years ago
• hojunkim13 / PINNs
  Basic implementation of physics-informed neural network with pytorch.
  ☆62Updated 2 years ago
• janblechschmidt / PDEsByNNs
  This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…
  ☆177Updated 4 years ago
• chen-yingfa / pinn-torch
  PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
  ☆88Updated 2 years ago
• raj-brown / APMA2070
  ☆45Updated last year
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆52Updated 2 years ago
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆272Updated last year