matt-graham / continuously-tempered-hmc
Continuously tempered Hamiltonian Monte Carlo
☆12Updated 7 years ago
Alternatives and similar repositories for continuously-tempered-hmc:
Users that are interested in continuously-tempered-hmc are comparing it to the libraries listed below
- ☆15Updated 3 years ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Updated last year
- PyMC Extras extracted from the "exoplanet" library☆19Updated 3 weeks ago
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆53Updated 8 months ago
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆18Updated last year
- Conditional density estimation with neural networks☆30Updated 2 months ago
- probabilistic programming focused on fun☆40Updated 5 months ago
- ABCpy package☆113Updated 10 months ago
- MCHMC: sampler from an arbitrary differentiable distribution☆71Updated 3 weeks ago
- Bayesian inference and posterior analysis for Python☆44Updated last year
- An HMC/NUTS implementation in Aesara☆32Updated last year
- Simulation based calibration and generation of synthetic data.☆49Updated this week
- All things Monte Carlo, written in JAX.☆30Updated 2 years ago
- Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.☆40Updated 5 years ago
- Tools for an Aesara-based PPL.☆65Updated 5 months ago
- Parallel tempering MCMC sampler package written in Python☆52Updated 6 months ago
- Probabilistic Programming and Nested sampling in JAX☆172Updated 3 months ago
- Gradient-informed particle MCMC methods☆11Updated last year
- A miscellaneous set of helper functions, custom distributions, and other utilities that I find useful when using NumPyro in my work☆24Updated last month
- Sampling with Blackjax on Aesara☆11Updated 2 years ago
- Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.☆29Updated 2 years ago
- My CV☆37Updated this week
- Notebook tutorials☆14Updated last year
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 2 years ago
- Simulation-based inference in JAX☆31Updated last month
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆108Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆102Updated last year
- Proximal Nested Sampling for high-dimensional Bayesian model selection☆23Updated 11 months ago
- Low rank adaptation of covariance matrices for nuts sampling in pymc3☆14Updated 2 years ago
- Differentiable interface to FEniCS for PyMC3☆20Updated 2 years ago