Alternatives and similar repositories for Neural-PDE-Solver:

Users that are interested in Neural-PDE-Solver are comparing it to the libraries listed below

• pdebench / PDEBench
  PDEBench: An Extensive Benchmark for Scientific Machine Learning
  ☆822Updated this week
• jayroxis / PINNs
  PyTorch Implementation of Physics-informed Neural Networks
  ☆570Updated 8 months ago
• neuraloperator / physics_informed
  ☆398Updated 11 months ago
• jdtoscano94 / Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_DeepONets
  Physics Informed Machine Learning Tutorials (Pytorch and Jax)
  ☆495Updated 2 months ago
• idrl-lab / PINNpapers
  Must-read Papers on Physics-Informed Neural Networks.
  ☆1,016Updated last year
• i207M / PINNacle
  Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
  ☆272Updated 5 months ago
• rezaakb / pinns-torch
  PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
  ☆364Updated 8 months ago
• lululxvi / deeponet
  Learning nonlinear operators via DeepONet
  ☆579Updated 2 years ago
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆312Updated 2 years ago
• omniscientoctopus / Physics-Informed-Neural-Networks
  Investigating PINNs
  ☆553Updated 3 years ago
• neuraloperator / graph-pde
  Using graph network to solve PDEs
  ☆370Updated last year
• lu-group / deeponet-fno
  DeepONet & FNO (with practical extensions)
  ☆256Updated last year
• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆423Updated this week
• PredictiveIntelligenceLab / jaxpi
  ☆251Updated 2 months ago
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆347Updated last month
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆278Updated 6 months ago
• mroberto166 / CAMLab-DLSCTutorials
  ☆186Updated 6 months ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆127Updated 3 years ago
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆204Updated last year
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆201Updated 3 years ago
• lululxvi / deepxde
  A library for scientific machine learning and physics-informed learning
  ☆2,895Updated last week
• pierremtb / PINNs-TF2.0
  TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
  ☆255Updated last year
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆264Updated last year
• NeuroDiffGym / neurodiffeq
  A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…
  ☆719Updated 6 months ago
• maziarraissi / HFM
  Hidden Fluid Mechanics
  ☆311Updated last year
• Raocp / PINN-laminar-flow
  Physics-informed neural network for solving fluid dynamics problems
  ☆207Updated 4 years ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆155Updated 11 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.
  ☆157Updated 2 months ago
• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆329Updated last year
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆187Updated 3 years ago