Alternatives and similar repositories for pbdl-book

Users that are interested in pbdl-book are comparing it to the libraries listed below

• thunil / Physics-Based-Deep-Learning
  Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
  ☆1,835Updated 3 weeks ago
• tum-pbs / PhiFlow
  A differentiable PDE solving framework for machine learning
  ☆1,722Updated last week
• Ceyron / machine-learning-and-simulation
  All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.co…
  ☆1,082Updated 4 months ago
• pdebench / PDEBench
  PDEBench: An Extensive Benchmark for Scientific Machine Learning
  ☆982Updated 5 months ago
• NeuroDiffGym / neurodiffeq
  A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…
  ☆766Updated 3 months ago
• google / jax-cfd
  Computational Fluid Dynamics in JAX
  ☆888Updated last month
• bitzhangcy / Neural-PDE-Solver
  ☆1,027Updated last week
• boschresearch / torchphysics
  OSS library that implements deep learning methods for partial differential equations and much more
  ☆454Updated 3 weeks ago
• lululxvi / deeponet
  Learning nonlinear operators via DeepONet
  ☆703Updated 3 years ago
• mroberto166 / CAMLab-DLSCTutorials
  ☆210Updated last year
• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆582Updated this week
• PredictiveIntelligenceLab / jaxpi
  ☆365Updated last month
• neuraloperator / graph-pde
  Using graph network to solve PDEs
  ☆419Updated 4 months ago
• MilesCranmer / lagrangian_nns
  Lagrangian Neural Networks
  ☆518Updated last month
• neuraloperator / neuraloperator
  Learning in infinite dimension with neural operators.
  ☆3,034Updated this week
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆465Updated 2 weeks ago
• benmoseley / harmonic-oscillator-pinn
  Code accompanying my blog post: So, what is a physics-informed neural network?
  ☆649Updated 3 years ago
• neuraloperator / physics_informed
  ☆490Updated 7 months ago
• jdtoscano94 / Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_PIKANs_DeepONets
  Physics Informed Machine Learning Tutorials (Pytorch and Jax)
  ☆601Updated 8 months ago
• idrl-lab / idrlnet
  IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
  ☆241Updated last year
• maziarraissi / HFM
  Hidden Fluid Mechanics
  ☆337Updated 2 years ago
• NVIDIA / physicsnemo
  Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML method…
  ☆1,971Updated this week
• idrl-lab / PINNpapers
  Must-read Papers on Physics-Informed Neural Networks.
  ☆1,302Updated last year
• MilesCranmer / symbolic_deep_learning
  Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
  ☆765Updated last year
• lululxvi / deepxde
  A library for scientific machine learning and physics-informed learning
  ☆3,577Updated this week
• jayroxis / PINNs
  PyTorch Implementation of Physics-informed Neural Networks
  ☆671Updated last year
• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆351Updated last year
• omniscientoctopus / Physics-Informed-Neural-Networks
  Investigating PINNs
  ☆678Updated 4 years ago
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆488Updated 4 years ago
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,534Updated last year