probabilistic-numerics / probnum-spring-school
Tutorial materials of the Probabilistic Numerics Spring School.
☆34Updated last year
Alternatives and similar repositories for probnum-spring-school:
Users that are interested in probnum-spring-school are comparing it to the libraries listed below
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆41Updated 3 months ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆104Updated 2 weeks ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆25Updated 9 months ago
- Matrix-free linear algebra in JAX.☆114Updated last month
- Code for Gaussian Score Matching Variational Inference☆31Updated 4 months ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 3 years ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆20Updated 6 months ago
- A generic interface for linear algebra backends☆71Updated 7 months ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆45Updated 4 years ago
- Normalizing Flows using JAX☆82Updated last year
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆40Updated last year
- Conditional density estimation with neural networks☆30Updated 3 weeks ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated last year
- Code for efficiently sampling functions from GP(flow) posteriors☆69Updated 4 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆36Updated 3 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆100Updated last year
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 2 months ago
- Riemannian Optimization Using JAX☆48Updated last year
- Simulation-based inference benchmark☆95Updated 3 weeks ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆97Updated 9 months ago
- ☆141Updated this week
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆98Updated last year
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆11Updated 3 months ago
- My code repo for random-walks.org☆10Updated last week
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 5 years ago
- diffusionjax is a simple and accessible diffusion models package in JAX☆40Updated 3 weeks ago
- Normalizing Flows with a resampled base distribution☆44Updated 2 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆23Updated 2 years ago