rlouf / aexLinks
Sampling with Blackjax on Aesara
☆11Updated 2 years ago
Alternatives and similar repositories for aex
Users that are interested in aex are comparing it to the libraries listed below
Sorting:
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆38Updated last year
- An HMC/NUTS implementation in Aesara☆31Updated 2 years ago
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆102Updated last week
- Self-tuning HMC algorithms and evaluations☆19Updated 9 months ago
- Tools for an Aesara-based PPL.☆64Updated 8 months ago
- Bayesian inference and posterior analysis for Python☆44Updated last year
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Automated Bayesian model discovery for time series data☆77Updated last month
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆66Updated 4 months ago
- A light interface to serial and multi-threaded Sequential Monte Carlo☆31Updated 3 years ago
- Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis☆32Updated 2 years ago
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Updated 2 years ago
- Code of PriorVAE: encoding spatial priors with variational autoencoders☆12Updated 2 years ago
- ☆18Updated 2 years ago
- Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)☆22Updated last year
- Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space☆14Updated 2 years ago
- Database with posteriors of interest for Bayesian inference☆202Updated last month
- Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.☆141Updated 2 months ago
- Exploring and eliciting probability distributions☆139Updated 3 weeks ago
- State of the art inference for your bayesian models.☆219Updated 2 months ago
- A simple library to run variational inference on Stan models.☆32Updated 2 years ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆86Updated last week
- Lectures on Quantitative Economics Using JAX☆37Updated 2 weeks ago
- ☆23Updated 2 years ago
- Kullback-Leibler projections for Bayesian model selection in Python☆36Updated 3 months ago
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 4 months ago
- Python wrapper for nuts-rs☆162Updated last week
- ☆15Updated 3 months ago
- Monitor MCMC runs in the browser☆36Updated last year