bob-carpenter / adaptive-hmcLinks
Self-tuning HMC algorithms and evaluations
☆19Updated 9 months ago
Alternatives and similar repositories for adaptive-hmc
Users that are interested in adaptive-hmc are comparing it to the libraries listed below
Sorting:
- Bayesian inference and posterior analysis for Python☆44Updated last year
- A simple library to run variational inference on Stan models.☆32Updated 2 years ago
- Sampling with Blackjax on Aesara☆11Updated 2 years ago
- State of the art inference for your bayesian models.☆219Updated 2 months ago
- Bayesian Conjugate Models in Python☆31Updated last week
- Exploring and eliciting probability distributions☆139Updated 3 weeks ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆86Updated last week
- Markov Chain Monte Carlo Visualization Tools☆25Updated last week
- Step size adaptation for the No-U-Turn Sampler☆17Updated last week
- Database with posteriors of interest for Bayesian inference☆202Updated last month
- ☆21Updated 9 months ago
- ☆15Updated 3 months ago
- Powerful add-ons for PyMC☆106Updated last week
- Python wrapper for nuts-rs☆162Updated last week
- ArviZ modular plotting☆18Updated this week
- ☆18Updated 2 years ago
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 4 months ago
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆66Updated 4 months ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆38Updated last year
- Simulation based calibration and generation of synthetic data.☆55Updated 3 weeks ago
- Kullback-Leibler projections for Bayesian model selection in Python☆36Updated 3 months ago
- Conditional density estimation with neural networks☆31Updated 5 months ago
- some scripts for the couplings enthusiasts!☆32Updated 4 years ago
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆102Updated last week
- MCHMC: sampler from an arbitrary differentiable distribution☆73Updated 2 months ago
- A curated list of awesome Bayesian statistics blogs and resources☆22Updated last year
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆34Updated 8 months ago
- Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)☆22Updated last year
- ☆56Updated 2 years ago