Alternatives and similar repositories for AutoDiff:

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

• martinResearch / MatlabAutoDiff
  A matlab implementation of forward automatic differentiation with operator overloading and sparse jacobians
  ☆42Updated 2 years ago
• yig / PySPQR
  Python wrapper for the sparse QR decomposition in SuiteSparseQR.
  ☆35Updated this week
• ketch / nodepy
  Analysis of initial value ODE solvers
  ☆80Updated 4 months ago
• mfschubert / sparsejac
  Efficient forward- and reverse-mode sparse Jacobians using Jax
  ☆54Updated last month
• lindonroberts / trust-region
  Python trust-region subproblem solvers for nonlinear optimization
  ☆26Updated 6 months ago
• dolfin-adjoint / pyadjoint
  The algorithmic differentation tool pyadjoint and add-ons.
  ☆92Updated this week
• scikit-umfpack / scikit-umfpack
  The umfpack scikit provides wrapper of UMFPACK sparse direct solver to SciPy.
  ☆48Updated 2 months ago
• sigma-py / ndim
  Compute multidimensional volumes and monomial integrals.
  ☆21Updated last year
• IvanYashchuk / jax-fenics
  Differentiable interface to FEniCS for JAX
  ☆52Updated 3 years ago
• PythonOptimizers / pykrylov
  A library of Krylov methods in pure Python
  ☆61Updated 2 years ago
• byuflowlab / ImplicitAD.jl
  Automates adjoints. Forward and reverse mode algorithmic differentiation around implicit functions (not propagating AD through), as well …
  ☆25Updated 7 months ago
• Dipolar-Quantum-Gases / jaxfit
  GPU/TPU accelerated nonlinear least-squares curve fitting using JAX
  ☆54Updated last year
• avigliotti / AD4SM.jl
  Automatic Differentiation for Solid Mechanics
  ☆54Updated last month
• matt-weinstein / adigator
  Matlab Algorithmic Differentiation Toolbox
  ☆26Updated 5 years ago
• rickchartrand / regularized_differentiation
  Numerical differentiation with regularization, allowing differentiation of noisy data without amplifying noise. Uses total variation and …
  ☆29Updated 6 years ago
• cobyqa / cobyqa
  A derivative-free solver for general nonlinear optimization.
  ☆46Updated 3 weeks ago
• florisvb / PyNumDiff
  Methods for numerical differentiation of noisy data in python
  ☆113Updated last year
• fireshape / fireshape
  A shape optimisation toolbox built on the Firedrake finite element library.
  ☆27Updated last month
• moble / quaternionic
  Interpret numpy arrays as quaternionic arrays with numba acceleration
  ☆88Updated 2 weeks ago
• byuflowlab / SNOW.jl
  Optimization framework for nonlinear, gradient-based constrained, sparse optimization problems.
  ☆27Updated 7 months ago
• ctkelley / NotebookSIAMFANL
  Notebook for my new solver book
  ☆63Updated 3 months ago
• IvanYashchuk / jax-fenics-adjoint
  Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
  ☆92Updated last year
• dbstein / fast_interp
  numba accelerated interpolation on regular grids in 1, 2, and 3 dimensions
  ☆63Updated 2 years ago
• flaport / klujax
  Solve sparse linear systems in JAX using the KLU algorithm
  ☆34Updated 2 months ago
• YichengDWu / Sophon.jl
  Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks
  ☆57Updated 2 months ago
• sblauth / cashocs
  computational adjoint-based shape optimization and optimal control software for python
  ☆54Updated this week
• andrenarchy / krypy
  Krylov subspace methods package for Python
  ☆102Updated 2 months ago
• b45ch1 / pyadolc
  Python Bindings to ADOL-C
  ☆45Updated 6 years ago
• MIT-Lu-Lab / MPAX
  ☆50Updated last month
• chr1shr / am225_examples
  Harvard Applied Math 225: Code Examples
  ☆23Updated 2 years ago