Alternatives and similar repositories for NABLA-SciML

Users that are interested in NABLA-SciML are comparing it to the libraries listed below

• jayroxis / PINNs
  PyTorch Implementation of Physics-informed Neural Networks
  ☆697Updated last year
• omniscientoctopus / Physics-Informed-Neural-Networks
  Investigating PINNs
  ☆720Updated 4 years ago
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆362Updated last year
• rezaakb / pinns-torch
  PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
  ☆799Updated 7 months ago
• idrl-lab / PINNpapers
  Must-read Papers on Physics-Informed Neural Networks.
  ☆1,404Updated 2 years ago
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆510Updated 2 months ago
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆381Updated 3 years ago
• i207M / PINNacle
  Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
  ☆391Updated last year
• 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
• lululxvi / deeponet
  Learning nonlinear operators via DeepONet
  ☆750Updated 3 years ago
• lu-group / deeponet-fno
  A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data
  ☆352Updated 2 years ago
• bitzhangcy / Neural-PDE-Solver
  ☆1,069Updated 3 weeks ago
• neuraloperator / physics_informed
  ☆505Updated 9 months ago
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆302Updated 2 years ago
• PML-UCF / pinn
  Physics-informed neural networks package
  ☆341Updated 3 years ago
• Raocp / PINN-laminar-flow
  Physics-informed neural network for solving fluid dynamics problems
  ☆263Updated 4 years ago
• rezaakb / pinns-tf2
  PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
  ☆152Updated last year
• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆692Updated this week
• PredictiveIntelligenceLab / jaxpi
  ☆399Updated 2 months ago
• pierremtb / PINNs-TF2.0
  TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
  ☆265Updated 2 years ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆241Updated 4 years ago
• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆361Updated 2 years ago
• Shengfeng233 / PINN-for-NS-equation
  A pytorch implementaion of physics informed neural networks for two dimensional NS equation
  ☆188Updated 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…
  ☆204Updated 2 years ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆199Updated last year
• Wulx2050 / DeepXDE-and-PINN
  DeepXDE and PINN
  ☆149Updated 3 years ago
• AdityaLab / pinnsformer
  ☆195Updated last year
• okada39 / pinn_wave
  Physics Informed Neural Network (PINN) for the wave equation.
  ☆200Updated 5 years ago
• mroberto166 / CAMLab-DLSCTutorials
  ☆213Updated last year
• idrl-lab / idrlnet
  IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
  ☆243Updated last year