patrick-kidger / torchcubicspline
Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, and backpropagation.
☆251Updated 2 years ago
Alternatives and similar repositories for torchcubicspline
Users that are interested in torchcubicspline are comparing it to the libraries listed below
Sorting:
- Newton and Quasi-Newton optimization with PyTorch☆345Updated last year
- Use scipy.optimize.minimize as a PyTorch Optimizer.☆72Updated 9 months ago
- A parallel ODE solver for PyTorch☆255Updated 7 months ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆107Updated 2 months ago
- Interpolation routines in Pytorch.☆110Updated 4 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago
- Preconditioned Conjugate Gradient in Pytorch☆140Updated last year
- 1D interpolation for pytorch☆171Updated 11 months ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆278Updated 3 years ago
- Constrained optimization toolkit for PyTorch☆678Updated 3 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆307Updated 2 months ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆435Updated last year
- Normalizing flows in PyTorch☆380Updated last month
- [ICLR2025 Spotlight] Official implementation of Conflict-Free Inverse Gradients Method☆57Updated last week
- Geometric kernels on manifolds, meshes and graphs☆250Updated last month
- Differentiable signal processing on the sphere for PyTorch☆457Updated last week
- Manifold-learning flows (ℳ-flows)☆228Updated 4 years ago
- Differentiable scientific computing library☆150Updated 9 months ago
- numerical optimization in pytorch☆136Updated 11 months ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆203Updated 5 months ago
- Normalizing flows in PyTorch☆917Updated 4 months ago
- Turning SymPy expressions into PyTorch modules.☆148Updated last year
- A library for programmatically generating equivariant layers through constraint solving☆268Updated 2 years ago
- Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.☆94Updated 4 years ago
- A PyTorch implementation of L-BFGS.☆600Updated 2 years ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆413Updated this week
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆641Updated 4 years ago
- Geometric loss functions between point clouds, images and volumes☆622Updated last month
- Gaussian processes in JAX and Flax.☆507Updated last month
- PyTorch implementation of normalizing flow models☆834Updated 8 months ago