Alternatives and similar repositories for PDE-backward-solver

Users that are interested in PDE-backward-solver are comparing it to the libraries listed below

• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆57Updated 2 years ago
• elizabethnewman / hessQuik
  Computing gradients and Hessians of feed-forward networks with GPU acceleration
  ☆20Updated last year
• martenlienen / finite-element-networks
  Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…
  ☆69Updated last year
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆42Updated 3 years ago
• afqueiruga / StatefulOdeNets
  Refining continuous-in-depth neural networks
  ☆42Updated 4 years ago
• mfinzi / constrained-hamiltonian-neural-networks
  ☆112Updated 4 years ago
• NBoulle / RationalNets
  Code for the paper "Rational neural networks", NeurIPS 2020
  ☆29Updated 4 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆89Updated 3 years ago
• juliagusak / neural-ode-norm
  Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"
  ☆16Updated 5 years ago
• DiffEqML / kairos
  Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure
  ☆28Updated 2 years ago
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 4 years ago
• jpzxshi / sympnets
  ☆31Updated last month
• PhIMaL / temporal_normalizing_flows
  ☆11Updated 4 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 3 years ago
• zhengdao-chen / SRNN
  Symplectic Recurrent Neural Networks
  ☆28Updated 3 years ago
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆54Updated 3 years ago
• AaltoML / scalable-inference-in-sdes
  Methods and experiments for assumed density SDE approximations
  ☆12Updated 4 years ago
• juntang-zhuang / torch_ACA
  repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE
  ☆57Updated 4 years ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆174Updated 4 years ago
• Rose-STL-Lab / Equivariant-Net
  ☆35Updated 2 years ago
• IvanYashchuk / jax-fenics-adjoint
  Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
  ☆107Updated 2 years ago
• ghliu / snopt
  Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight
  ☆55Updated 4 years ago
• Zymrael / PortHamiltonianNN
  Port-Hamiltonian Approach to Neural Network Training
  ☆27Updated 6 years ago
• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆26Updated 2 years ago
• mbilos / stribor
  Library for normalizing flows and neural flows.
  ☆26Updated 3 years ago
• DiffEqML / diffeqml-research
  This repository contains code released by DiffEqML Research
  ☆92Updated 3 years ago
• a-norcliffe / sonode
  Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"
  ☆61Updated last year
• astanziola / fourier-neural-operator-flax
  An unofficial implementation of the Fourier Neural Operator in Flax
  ☆19Updated last year
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆29Updated 8 months ago
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆132Updated 3 weeks ago