AaltoPML / spatiotemporal-graph-kernels
The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.
☆16Updated 2 years ago
Alternatives and similar repositories for spatiotemporal-graph-kernels:
Users that are interested in spatiotemporal-graph-kernels are comparing it to the libraries listed below
- Code of PriorVAE: encoding spatial priors with variational autoencoders☆12Updated last year
- Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space☆14Updated last year
- Conformal Bayes with importance sampling☆19Updated 3 years ago
- A simple library to run variational inference on Stan models.☆30Updated last year
- An R package for Bayes Linear emulation and history matching.☆16Updated 2 weeks ago
- Gaussian processes on graphs and lattices in Stan.☆16Updated last week
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 3 years ago
- Some code for monkeypox☆10Updated 2 years ago
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆60Updated last month
- ☆15Updated 3 years ago
- GP nowcasting for Brazil Covid-19 mortality☆9Updated 8 months ago
- Probabilistic generative model and efficient algorithm to model reciprocity in directed networks.☆16Updated last year
- Tools for generalized quantile modeling☆15Updated 2 years ago
- Unbiased Markov chain Monte Carlo with couplings☆29Updated 2 years ago
- This tutorial is a basic guide to understanding the Zig-Zag Sampling method. This document is released with the aim of diffusion and shar…☆20Updated 5 years ago
- Efficient, lightweight variational inference and approximation bounds☆43Updated last year
- Code and data for the manuscript "Optimal, near-optimal, and robust epidemic control"☆11Updated 2 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- Code accompanying the NeurIPS 2021 Paper: A Probabilistic State Space Model for Joint Inference from Differential Equations and Data (Sch…☆13Updated 2 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- Home for the book-in-progress 'Bayesian Learning'☆28Updated 3 weeks ago
- A Bayesian model for time-series count data with weekend effects and a lagged reporting process☆10Updated 3 years ago
- ☆22Updated 2 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 8 months ago
- Posterior with interesting shapes from actually used models☆12Updated last month
- Endo A. et al., "Introduction to the particle Markov-chain Monte Carlo." Epidemics, 2019.☆13Updated 2 years ago
- R-package for building and fitting Bayesian ODE models in Stan☆26Updated 6 months ago
- SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations☆14Updated 6 years ago
- LogDensityProblems implementation for Stan models☆16Updated 2 months ago
- Summer School on Network Science (UU)☆20Updated 8 months ago