cornellius-gp / linear_operatorLinks
A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
☆111Updated 3 months ago
Alternatives and similar repositories for linear_operator
Users that are interested in linear_operator are comparing it to the libraries listed below
Sorting:
- Matrix-free linear algebra in JAX.☆124Updated 3 weeks ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- Large-scale, multi-GPU capable, kernel solver☆189Updated 11 months ago
- ☆165Updated last month
- Gaussian processes in JAX and Flax.☆516Updated last month
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆429Updated last week
- Turning SymPy expressions into PyTorch modules.☆147Updated last year
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated 2 years ago
- Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax☆30Updated last year
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆278Updated last week
- Multiple dispatch over abstract array types in JAX.☆125Updated last week
- A generic interface for linear algebra backends☆73Updated 3 months ago
- Mathematical operations for JAX pytrees☆198Updated 6 months ago
- Use scipy.optimize.minimize as a PyTorch Optimizer.☆72Updated 10 months ago
- Minimal Implementation of Bayesian Optimization in JAX☆95Updated 2 months ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆204Updated 6 months ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆100Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆233Updated last year
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆29Updated last year
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆48Updated this week
- Riemannian Optimization Using JAX☆49Updated last year
- Stencil computations in JAX☆71Updated last year
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆456Updated 3 weeks ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆49Updated 2 months ago
- Interpolation and function approximation with JAX☆195Updated this week
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆128Updated 9 months ago
- Normalizing Flows using JAX☆83Updated last year
- Bayesian inference with Python and Jax.☆32Updated 2 years ago