Alternatives and similar repositories for pytorch

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

• gngdb / pytorch-minimize
  Use scipy.optimize.minimize as a PyTorch Optimizer.
  ☆72Updated 11 months ago
• IvanYashchuk / jax-fenics
  Differentiable interface to FEniCS for JAX
  ☆54Updated 4 years ago
• NBoulle / RationalNets
  Code for the paper "Rational neural networks", NeurIPS 2020
  ☆28Updated 4 years ago
• IvanYashchuk / jax-fenics-adjoint
  Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
  ☆96Updated last year
• samholt / NeuralLaplace
  Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
  ☆77Updated 2 months ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆33Updated 3 years ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆111Updated 3 months ago
• 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
• barkm / torch-fenics
  PyTorch-FEniCS interface
  ☆101Updated 4 years ago
• afqueiruga / StatefulOdeNets
  Refining continuous-in-depth neural networks
  ☆40Updated 3 years ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆38Updated 2 years ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆52Updated 2 years ago
• Ceyron / exponax
  Efficient Differentiable n-d PDE solvers in JAX.
  ☆40Updated 7 months ago
• devzhk / cgds-package
  Package for CGD and ACGD optimizers
  ☆20Updated 2 years ago
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆128Updated 9 months ago
• DiffEqML / pde-dataset-generator
  A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
  ☆37Updated 3 years ago
• tksmatsubara / symplectic-adjoint-method
  Code for "Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory," NeurIPS, 2021.
  ☆16Updated 3 years ago
• ludwigwinkler / pytorch_MCMC
  Lightweight MCMC sampling for PyTorch Models aka My Corona Project
  ☆48Updated last week
• holl- / PDE-Control
  Code for the ICLR 2020 paper "Learning to Control PDEs"
  ☆33Updated 5 years ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆29Updated 2 years ago
• marvinpfoertner / linpde-gp
  Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
  ☆30Updated last year
• ZichaoLong / aTEAM
  A pyTorch Extension for Applied Mathematics
  ☆39Updated 5 years ago
• lorenzrichter / PDE-backward-solver
  ☆21Updated 8 months ago
• mfinzi / constrained-hamiltonian-neural-networks
  ☆109Updated 4 years ago
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆34Updated 2 years ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆125Updated last month
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆87Updated 2 years ago
• CW-Huang / CP-Flow
  Convex potential flows
  ☆83Updated 3 years ago
• flaport / torch_sparse_solve
  A sparse KLU solver for PyTorch.
  ☆65Updated 3 years ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆103Updated last year