Alternatives and similar repositories for al4pde:

Users that are interested in al4pde are comparing it to the libraries listed below

• Ceyron / exponax
  Efficient Differentiable n-d PDE solvers in JAX.
  ☆21Updated last month
• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆49Updated last month
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆12Updated 4 months ago
• jhbastek / PhysicsInformedDiffusionModels
  Implementation of Physics-Informed Diffusion Models
  ☆39Updated 5 months ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆27Updated 2 years ago
• d-biswa / Symplectic-ODENet
  ☆14Updated 4 years ago
• ASK-Berkeley / Neural-Spectral-Methods
  [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.
  ☆36Updated 10 months ago
• fidero / gp-derivative
  Example code to speed up GP inference with gradients for high-dimensional inputs.
  ☆14Updated 3 years ago
• Zhengyu-Huang / Operator-Learning
  ☆37Updated 2 years ago
• PredictiveIntelligenceLab / NOMAD
  ☆14Updated 4 months ago
• pehersto / ng
  Neural Galerkin
  ☆14Updated last year
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆15Updated last month
• MatthieuDarcy / KernelsOperatorLearning
  ☆10Updated last week
• TUM-ITR / koopcore
  Koopman Kernels for Learning Dynamical Systems from Trajectory Data
  ☆22Updated last year
• cagatayyildiz / neural-ode-tutorial
  Neural ODE tutorial
  ☆9Updated 2 years ago
• yuan-yin / CoDA
  Generalizing to New Physical Systems via Context-Informed Dynamics Model
  ☆22Updated 7 months ago
• yifanc96 / GaussianProcessPDEs
  An integrated demo: Gaussian processes for PDEs and inverse problems
  ☆13Updated 6 months ago
• tum-pbs / unrolling
  ☆11Updated last month
• qiauil / ConvDO
  Convolutional Differential Operators for Physics-based Deep Learning Study
  ☆24Updated 4 months ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆27Updated 5 months ago
• yifanc96 / NonLinPDEs-GPsolver
  Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes
  ☆35Updated last month
• VLSF / SNO
  Spectral Neural Operator
  ☆73Updated 11 months ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆49Updated last year
• DecodEPFL / HamiltonianNet
  PyTorch implementation of Hamiltonian deep neural networks.
  ☆19Updated 2 years ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆36Updated 2 years ago
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆60Updated 5 months ago
• scaomath / torch-cfd
  Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆20Updated 2 weeks ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆32Updated 2 years ago
• wuwushrek / physics_constrained_nn
  Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
  ☆41Updated 3 years ago