geometric-kernels / GeometricKernels
Geometric kernels on manifolds, meshes and graphs
☆250Updated last month
Alternatives and similar repositories for GeometricKernels
Users that are interested in GeometricKernels are comparing it to the libraries listed below
Sorting:
- Gaussian processes in JAX and Flax.☆507Updated last month
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆413Updated this week
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆107Updated 2 months ago
- Compositional Linear Algebra☆476Updated last month
- A library for programmatically generating equivariant layers through constraint solving☆268Updated 2 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆231Updated last year
- Turning SymPy expressions into PyTorch modules.☆148Updated last year
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆593Updated this week
- 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
- Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"☆44Updated 6 months ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆53Updated 3 months ago
- Computing on Topological Domains☆215Updated this week
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆258Updated this week
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated last year
- Topological Deep Learning☆272Updated this week
- ☆160Updated last week
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Large-scale, multi-GPU capable, kernel solver☆187Updated 10 months ago
- Matrix-free linear algebra in JAX.☆118Updated 4 months ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆127Updated 8 months ago
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆440Updated last week
- Algorithms for computations on random manifolds made easier☆89Updated last year
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆278Updated 3 years ago
- ☆271Updated 2 years ago
- Manifold-learning flows (ℳ-flows)☆228Updated 4 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆447Updated 8 months ago
- Newton and Quasi-Newton optimization with PyTorch☆345Updated last year
- ☆62Updated last year
- Deep GPs built on top of TensorFlow/Keras and GPflow☆125Updated 7 months ago