Alternatives and similar repositories for pytorch-minimize

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

• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆251Updated 2 years ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆678Updated 3 years ago
• gngdb / pytorch-minimize
  Use scipy.optimize.minimize as a PyTorch Optimizer.
  ☆72Updated 10 months ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆110Updated 2 months ago
• martenlienen / torchode
  A parallel ODE solver for PyTorch
  ☆255Updated 8 months ago
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆601Updated 2 years ago
• hahnec / torchimize
  numerical optimization in pytorch
  ☆136Updated last year
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆202Updated 6 months ago
• sbarratt / torch_cg
  Preconditioned Conjugate Gradient in Pytorch
  ☆140Updated last year
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆187Updated 10 months ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆279Updated 3 years ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆305Updated this week
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆423Updated this week
• sbarratt / torch_interpolations
  Interpolation routines in Pytorch.
  ☆110Updated 4 years ago
• probabilists / zuko
  Normalizing flows in PyTorch
  ☆384Updated last month
• mfinzi / equivariant-MLP
  A library for programmatically generating equivariant layers through constraint solving
  ☆268Updated 2 years ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆448Updated 9 months ago
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆515Updated 2 weeks ago
• NVIDIA / torch-harmonics
  Differentiable signal processing on the sphere for PyTorch
  ☆460Updated last week
• ltatzel / PyTorchHessianFree
  PyTorch implementation of the Hessian-free optimizer
  ☆35Updated 11 months ago
• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆628Updated last month
• geometric-kernels / GeometricKernels
  Geometric kernels on manifolds, meshes and graphs
  ☆254Updated this week
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆971Updated last month
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆170Updated 3 years ago
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆145Updated last year
• patrick-kidger / torchcde
  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
  ☆436Updated last year
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆505Updated last month
• fabiodimarco / torch-levenberg-marquardt
  PyTorch implementation of Levenberg-Marquardt training algorithm
  ☆63Updated 2 months ago
• patrick-kidger / lineax
  Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
  ☆445Updated this week
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆583Updated 5 months ago