Alternatives and similar repositories for torchcubicspline:

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

• rfeinman / pytorch-minimize
  Newton and Quasi-Newton optimization with PyTorch
  ☆340Updated last year
• aliutkus / torchinterp1d
  1D interpolation for pytorch
  ☆171Updated 10 months ago
• sbarratt / torch_cg
  Preconditioned Conjugate Gradient in Pytorch
  ☆140Updated last year
• probabilists / zuko
  Normalizing flows in PyTorch
  ☆372Updated last month
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆278Updated 3 years ago
• sbarratt / torch_interpolations
  Interpolation routines in Pytorch.
  ☆110Updated 4 years ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆169Updated 3 years ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆107Updated 3 weeks 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 3 weeks ago
• patrick-kidger / torchcde
  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
  ☆434Updated last year
• martenlienen / torchode
  A parallel ODE solver for PyTorch
  ☆251Updated 6 months ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆673Updated 3 years ago
• gngdb / pytorch-minimize
  Use scipy.optimize.minimize as a PyTorch Optimizer.
  ☆72Updated 8 months ago
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆201Updated 4 months ago
• fwilliams / scalable-pytorch-sinkhorn
  ☆148Updated 2 years ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆89Updated last year
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆438Updated 7 months ago
• mbilos / neural-flows-experiments
  Experiments for Neural Flows paper
  ☆94Updated 3 years ago
• hahnec / torchimize
  numerical optimization in pytorch
  ☆137Updated 10 months ago
• samholt / NeuralLaplace
  Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
  ☆75Updated last month
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆896Updated 3 months ago
• geometric-kernels / GeometricKernels
  Geometric kernels on manifolds, meshes and graphs
  ☆244Updated last week
• vislearn / analyzing_inverse_problems
  Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)
  ☆94Updated 5 years ago
• ltatzel / PyTorchHessianFree
  PyTorch implementation of the Hessian-free optimizer
  ☆34Updated 9 months ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆229Updated 4 years ago
• mfinzi / equivariant-MLP
  A library for programmatically generating equivariant layers through constraint solving
  ☆265Updated last year
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆598Updated 2 years ago
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆392Updated last week
• VincentStimper / normalizing-flows
  PyTorch implementation of normalizing flow models
  ☆815Updated 7 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…
  ☆70Updated 10 months ago