sbarratt / torch_interpolations
Interpolation routines in Pytorch.
☆110Updated 4 years ago
Alternatives and similar repositories for torch_interpolations:
Users that are interested in torch_interpolations are comparing it to the libraries listed below
- Pytorch Custom CUDA kernel for searchsorted☆137Updated last year
- Preconditioned Conjugate Gradient in Pytorch☆140Updated last year
- 1D interpolation for pytorch☆171Updated 11 months ago
- Tensorflow 2.0 implementation of Fourier Feature Mapping Networks.☆42Updated 4 years ago
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆249Updated 2 years ago
- Spherical CNNs on Unstructured Grids Using Parameterized Differential Operators☆168Updated last year
- A sparse KLU solver for PyTorch.☆64Updated 3 years ago
- DeepSphere: a graph-based spherical CNN (PyTorch)☆159Updated 3 years ago
- Convex potential flows☆83Updated 3 years ago
- Normalizing Flows in Jax☆107Updated 4 years ago
- A spherical convolutional neural network for cosmology (TFv1).☆133Updated 4 years ago
- Code for Neural Spline Flows paper☆268Updated 4 years ago
- CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…☆50Updated 3 years ago
- Newton and Quasi-Newton optimization with PyTorch☆342Updated last year
- PyTorch implementation of Sinusodial Representation networks (SIREN)☆263Updated 2 years ago
- PyTorch implementation of the Hessian-free optimizer☆34Updated 10 months ago
- Pytorch implementation of Block Neural Autoregressive Flow☆178Updated 3 years ago
- Automation scripts for compute canada☆36Updated 2 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆69Updated 2 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆145Updated last year
- Normalizing Flows using JAX☆83Updated last year
- Group Equivariant Convolutional Neural Networks☆100Updated 7 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 9 months ago
- Computations involving Lie groups and harmonic analysis☆200Updated 2 months ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆117Updated last year
- NumPy-style histograms in PyTorch☆54Updated last year
- Implementation and tutorials of normalizing flows with the novel distributions module☆166Updated 4 years ago
- This repository provides convenient and readable macros for commonly used syntax when writing scientific articles about machine learning.☆56Updated 3 years ago