patrick-kidger / torchcubicspline
Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, and backpropagation.
☆245Updated 2 years ago
Alternatives and similar repositories for torchcubicspline:
Users that are interested in torchcubicspline are comparing it to the libraries listed below
- Newton and Quasi-Newton optimization with PyTorch☆341Updated last year
- Use scipy.optimize.minimize as a PyTorch Optimizer.☆70Updated 8 months ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆278Updated 3 years ago
- Preconditioned Conjugate Gradient in Pytorch☆140Updated last year
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆305Updated last week
- A parallel ODE solver for PyTorch☆250Updated 5 months ago
- Interpolation routines in Pytorch.☆110Updated 4 years ago
- Constrained optimization toolkit for PyTorch☆670Updated 3 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆433Updated last year
- 1D interpolation for pytorch☆171Updated 10 months ago
- High-order spline interpolation in PyTorch☆67Updated 6 months ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆106Updated last week
- numerical optimization in pytorch☆137Updated 10 months ago
- Normalizing flows in PyTorch☆366Updated 3 weeks ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago
- Turning SymPy expressions into PyTorch modules.☆146Updated last year
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆200Updated 3 months ago
- Geometric kernels on manifolds, meshes and graphs☆242Updated last week
- A library for programmatically generating equivariant layers through constraint solving☆265Updated last year
- Differentiable signal processing on the sphere for PyTorch☆444Updated 3 weeks ago
- Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function☆481Updated last year
- Manifold-learning flows (ℳ-flows)☆229Updated 4 years ago
- Experiments for Neural Flows paper☆94Updated 3 years ago
- Functional N-dimensional convolution in Pytorch, recursively calling convNd until reaching conv3d.☆78Updated 2 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆437Updated 6 months ago
- Large-scale, multi-GPU capable, kernel solver☆186Updated 8 months ago
- A PyTorch implementation of L-BFGS.☆598Updated 2 years ago
- ☆148Updated 2 years ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆384Updated last month
- ☆267Updated last year