Alternatives and similar repositories for pnode

Users that are interested in pnode are comparing it to the libraries listed below

• hippylib / hippyflow
  Dimension reduced surrogate construction for parametric PDE maps
  ☆39Updated 5 months ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆42Updated 2 years ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆41Updated 3 years ago
• dolfin-adjoint / pyadjoint
  The algorithmic differentation tool pyadjoint and add-ons.
  ☆116Updated this week
• rocketmlhq / sciml
  Scientific Machine Learning Tutorials
  ☆40Updated 4 years ago
• llnl / LaSDI
  ☆55Updated 2 years ago
• llnl / pylibROM
  Python interface for libROM, library for reduced order models
  ☆63Updated 5 months ago
• llnl / GPLaSDI
  Gaussian process-based interpretable latent space dynamics identification through deep autoencoder
  ☆38Updated 2 weeks ago
• CraigGin / PDEKoopman2
  Update PDEKoopman code to Tensorflow 2
  ☆24Updated 4 years ago
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆71Updated last month
• pswpswpsw / paper-nif
  ☆40Updated 2 years ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 years ago
• nw2190 / ConvPDE
  Convolutional Solvers for Partial Differential Equations
  ☆27Updated 5 years ago
• nickmcgreivy / WeakBaselinesMLPDE
  ☆29Updated last year
• rmojgani / PhysicsAwareAE
  The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…
  ☆20Updated 3 years ago
• neo-fetch / nvidia-modulus-airfoil-optimisation
  Using NVIDIA modulus for airfoil optimizations at different angles.
  ☆25Updated 2 years ago
• tensordiffeq / TensorDiffEq
  Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…
  ☆117Updated 3 years ago
• KTH-FlowAI / DeepReinforcementLearning_RayleighBenard2D_Control
  Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.
  ☆21Updated 2 years ago
• operator-inference / opinf
  Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
  ☆79Updated 3 weeks ago
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆71Updated 2 years ago
• tum-pbs / unrolling
  ☆18Updated last year
• fem-on-colab / fem-on-colab
  ☆59Updated this week
• llnl / gLaSDI
  ☆30Updated last year
• haranjackson / PyPDE
  A Python library for solving any system of hyperbolic or parabolic Partial Differential Equations. The PDEs can have stiff source terms a…
  ☆63Updated 6 years ago
• tomoleary / dino
  Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
  ☆17Updated 2 years ago
• sandialabs / UQTk
  Sandia Uncertainty Quantification Toolkit
  ☆86Updated last year
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆50Updated 5 years ago
• mathLab / ATHENA
  ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
  ☆56Updated 2 years ago
• fernexda / cnm
  ☆19Updated 5 years ago
• amkatrutsa / dmg
  Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf
  ☆19Updated 9 months ago