Alternatives and similar repositories for Physics-Based-Deep-Learning

Users that are interested in Physics-Based-Deep-Learning are comparing it to the libraries listed below

• tum-pbs / pbdl-book
  Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition
  ☆1,237Updated 4 months ago
• tum-pbs / PhiFlow
  A differentiable PDE solving framework for machine learning
  ☆1,787Updated last week
• NeuroDiffGym / neurodiffeq
  A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…
  ☆770Updated 5 months ago
• pdebench / PDEBench
  PDEBench: An Extensive Benchmark for Scientific Machine Learning
  ☆1,034Updated 7 months ago
• google / jax-cfd
  Computational Fluid Dynamics in JAX
  ☆905Updated last month
• 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…
  ☆1,133Updated 2 weeks ago
• Zymrael / awesome-neural-ode
  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…
  ☆1,506Updated last year
• bitzhangcy / Neural-PDE-Solver
  ☆1,063Updated last week
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,549Updated last year
• neuraloperator / neuraloperator
  Learning in infinite dimension with neural operators.
  ☆3,309Updated 2 weeks ago
• lululxvi / deepxde
  A library for scientific machine learning and physics-informed learning
  ☆3,759Updated 3 weeks 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…
  ☆2,261Updated this week
• idrl-lab / PINNpapers
  Must-read Papers on Physics-Informed Neural Networks.
  ☆1,392Updated 2 years ago
• boschresearch / torchphysics
  OSS library that implements deep learning methods for partial differential equations and much more
  ☆456Updated 3 months ago
• omniscientoctopus / Physics-Informed-Neural-Networks
  Investigating PINNs
  ☆712Updated 4 years ago
• lululxvi / deeponet
  Learning nonlinear operators via DeepONet
  ☆744Updated 3 years ago
• neuraloperator / graph-pde
  Using graph network to solve PDEs
  ☆427Updated 7 months ago
• jdtoscano94 / Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_PIKANs_DeepONets
  Physics Informed Machine Learning Tutorials (Pytorch and Jax)
  ☆630Updated 10 months ago
• thunil / Deep-Flow-Prediction
  A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
  ☆331Updated 3 years ago
• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆689Updated last week
• jayroxis / PINNs
  PyTorch Implementation of Physics-informed Neural Networks
  ☆692Updated last year
• maziarraissi / HFM
  Hidden Fluid Mechanics
  ☆348Updated 2 years ago
• neuraloperator / physics_informed
  ☆502Updated 9 months 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.
  ☆244Updated last year
• MilesCranmer / lagrangian_nns
  Lagrangian Neural Networks
  ☆532Updated 3 months ago
• MilesCranmer / symbolic_deep_learning
  Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
  ☆771Updated 2 years ago
• PredictiveIntelligenceLab / jaxpi
  ☆397Updated last month
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆507Updated last month
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆499Updated 4 years ago