Alternatives and similar repositories for sympytorch

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

• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆112Updated 4 months ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆171Updated 3 years ago
• mfinzi / equivariant-MLP
  A library for programmatically generating equivariant layers through constraint solving
  ☆270Updated 2 years ago
• mfinzi / constrained-hamiltonian-neural-networks
  ☆110Updated 4 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆84Updated last year
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆281Updated 3 years ago
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆346Updated 3 months ago
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆50Updated 3 years ago
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆206Updated this week
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆87Updated 2 years ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆51Updated last year
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆133Updated this week
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆129Updated 10 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
• SymJAX / SymJAX
  Documentation:
  ☆121Updated 2 years ago
• google / tree-math
  Mathematical operations for JAX pytrees
  ☆199Updated 8 months ago
• xitorch / xitorch
  Differentiable scientific computing library
  ☆153Updated 11 months ago
• lezcano / expm
  Differentiable and numerically stable implementation of the matrix exponential
  ☆33Updated 4 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆119Updated 2 years ago
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆80Updated last year
• mbilos / stribor
  Library for normalizing flows and neural flows.
  ☆25Updated 3 years ago
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆190Updated 2 weeks ago
• clayton-r / symtorch
  Initial Commit
  ☆19Updated 4 years ago
• google-deepmind / kfac-jax
  Second Order Optimization and Curvature Estimation with K-FAC in JAX.
  ☆283Updated 2 weeks ago
• rdyro / torch2jax
  Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.
  ☆56Updated last week
• IvanYashchuk / jax-fenics-adjoint
  Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
  ☆97Updated last year
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆39Updated 2 years ago
• massastrello / awesome-implicit-neural-models
  ☆103Updated 4 years ago