elizavetasemenova / prob-epiLinks
Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
☆70Updated 7 months ago
Alternatives and similar repositories for prob-epi
Users that are interested in prob-epi are comparing it to the libraries listed below
Sorting:
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆88Updated 2 months ago
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆36Updated 10 months ago
- Code of PriorVAE: encoding spatial priors with variational autoencoders☆12Updated 2 years ago
- ☆56Updated 3 years ago
- Bayesian inference and posterior analysis for Python☆45Updated last year
- A simple library to run variational inference on Stan models.☆33Updated 2 years ago
- R-package for building and fitting Bayesian ODE models in Stan☆29Updated last year
- Python package for multi-signal Bayesian renewal modeling with JAX and NumPyro.☆18Updated last week
- Step size adaptation for the No-U-Turn Sampler☆23Updated last week
- Gaussian processes on graphs and lattices in Stan.☆18Updated 6 months ago
- Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space☆14Updated 2 years ago
- stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…☆25Updated 3 years ago
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆105Updated 3 weeks ago
- Sampling with Blackjax on Aesara☆11Updated 2 years ago
- Tutorials and sampling algorithm comparisons☆77Updated this week
- Some teaching material and other educational resources☆41Updated last month
- Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)☆22Updated last year
- Monitor MCMC runs in the browser☆37Updated last year
- Self-tuning HMC algorithms and evaluations☆19Updated 11 months ago
- probabilistic programming focused on fun☆42Updated last month
- Database with posteriors of interest for Bayesian inference☆209Updated last month
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 7 months ago
- ☆18Updated 2 years ago
- Kullback-Leibler projections for Bayesian model selection in Python☆40Updated last month
- Book Chapter Drafts☆35Updated last year
- A probabilistic programming framework☆44Updated this week
- Simulation based calibration and generation of synthetic data.☆55Updated 2 weeks ago
- A Beginner's Guide to Variational Inference☆18Updated 5 months ago
- Towards a more flexible BART☆22Updated last month
- ☆30Updated last year