martiningram / mcmc_runtime_comparisonLinks
Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis
☆33Updated 2 years ago
Alternatives and similar repositories for mcmc_runtime_comparison
Users that are interested in mcmc_runtime_comparison are comparing it to the libraries listed below
Sorting:
- Bayesian inference and posterior analysis for Python☆46Updated last year
- Python wrapper for nuts-rs☆179Updated this week
- Simulation based calibration and generation of synthetic data.☆57Updated last month
- Exploring and eliciting probability distributions☆156Updated last week
- Gaussian Process Model Building Interface☆51Updated 8 months ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Updated 2 years ago
- Sampling with Blackjax on Aesara☆11Updated 2 years ago
- Powerful add-ons for PyMC☆124Updated this week
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆105Updated this week
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 8 months ago
- ☆18Updated 2 years ago
- A comparison of PPL APIs☆27Updated 6 years ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆25Updated this week
- Bayesian Regression Models in Pyro☆73Updated last year
- An HMC/NUTS implementation in Aesara☆31Updated 2 years ago
- Database with posteriors of interest for Bayesian inference☆210Updated 2 months ago
- Tutorials and sampling algorithm comparisons☆78Updated this week
- Lectures on Quantitative Economics Using JAX☆46Updated last week
- Kullback-Leibler projections for Bayesian model selection in Python☆40Updated 2 weeks ago
- Numpyro examples in Python notebooks☆11Updated 5 years ago
- State of the art inference for your bayesian models.☆228Updated 6 months ago
- A system for Bayesian estimation of state space models using PyMC☆36Updated 4 months ago
- Home for the computational inference reading group.☆17Updated 5 years ago
- Step size adaptation for the No-U-Turn Sampler☆26Updated this week
- Self-tuning HMC algorithms and evaluations☆19Updated last year
- Solve ODEs fast, with support for PyMC☆117Updated last year
- Bayesian inference for a logistic regression model in various languages☆43Updated 2 years ago
- A simple library to run variational inference on Stan models.☆33Updated 2 years ago
- Particle Gibbs sampler for Bayesian additive regression trees (BART) in Rust.☆14Updated 2 months ago
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆58Updated last year