bob-carpenter / adaptive-hmcLinks
Self-tuning HMC algorithms and evaluations
☆19Updated last year
Alternatives and similar repositories for adaptive-hmc
Users that are interested in adaptive-hmc are comparing it to the libraries listed below
Sorting:
- Step size adaptation for the No-U-Turn Sampler☆26Updated this week
- Bayesian inference and posterior analysis for Python☆46Updated last year
- A simple library to run variational inference on Stan models.☆33Updated 2 years ago
- Sampling with Blackjax on Aesara☆11Updated 2 years ago
- State of the art inference for your bayesian models.☆228Updated 6 months ago
- Tutorials and sampling algorithm comparisons☆78Updated this week
- Markov Chain Monte Carlo Visualization Tools☆25Updated 4 months ago
- Bayesian Conjugate Models in Python☆32Updated this week
- Exploring and eliciting probability distributions☆156Updated last week
- ☆16Updated 7 months ago
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆88Updated 4 months ago
- A python package for learning prior distributions based on expert knowledge☆15Updated this week
- Powerful add-ons for PyMC☆124Updated this week
- Database with posteriors of interest for Bayesian inference☆210Updated 2 months ago
- ArviZ modular plotting☆19Updated this week
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆105Updated this week
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆70Updated 8 months ago
- Kullback-Leibler projections for Bayesian model selection in Python☆40Updated 2 weeks ago
- Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)☆22Updated last year
- Python wrapper for nuts-rs☆179Updated this week
- Simulation based calibration and generation of synthetic data.☆57Updated last month
- A comparison of PPL APIs☆27Updated 6 years ago
- Book Chapter Drafts☆36Updated last year
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 8 months ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Updated 2 years ago
- some scripts for the couplings enthusiasts!☆32Updated 5 years ago
- An HMC/NUTS implementation in Aesara☆31Updated 2 years ago
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆37Updated last year
- ☆18Updated 2 years ago
- A system for Bayesian estimation of state space models using PyMC☆36Updated 4 months ago