python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
☆140Dec 1, 2020Updated 5 years ago
Alternatives and similar repositories for NUTS
Users that are interested in NUTS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Hamiltonain Monte Carlo in Python☆40Nov 7, 2019Updated 6 years ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆341Dec 7, 2022Updated 3 years ago
- ☆15Mar 3, 2017Updated 9 years ago
- A flexible Chemical Evolution model in python☆18Aug 19, 2020Updated 6 years ago
- Approximate Bayesian Computation in python☆11Feb 19, 2015Updated 11 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Look Ahead Hamiltonian Monte Carlo☆31Mar 29, 2015Updated 11 years ago
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆244Feb 18, 2024Updated 2 years ago
- Fit and compare complex models reliably and rapidly. Advanced nested sampling.☆205Updated this week
- Example of GAMES (Gravitational-wave Amortized Metric Enhanced Sampler)☆12Oct 8, 2024Updated last year
- ☆16Sep 19, 2026Updated last week
- Manifold Markov chain Monte Carlo methods in Python☆238Jul 20, 2026Updated 2 months ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆110Feb 9, 2018Updated 8 years ago
- A Metropolis-Hastings MCMC sampler accelerated via diffusion models☆18Jul 25, 2024Updated 2 years ago
- Python based SED fitting code☆13May 26, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆59Jul 25, 2024Updated 2 years ago
- Stochastic Gradient Hamiltonian Monte Carlo☆12Nov 16, 2019Updated 6 years ago
- The tiniest of Gaussian Process libraries☆349Sep 10, 2026Updated 3 weeks ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆26Jun 7, 2018Updated 8 years ago
- Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics☆116Aug 18, 2026Updated last month
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,757Updated this week
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆264Oct 28, 2025Updated 11 months ago
- Python interface between FSPS and Cloudy.☆14Jun 16, 2022Updated 4 years ago
- An Easy-to-Use Wrapper for the Spectral Synthesis Code Synspec☆22Sep 22, 2026Updated last week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- An experiment: emcee implemented in JAX☆28Jul 1, 2022Updated 4 years ago
- This repo contains the code of Transitional Markov chain Monte Carlo algorithm☆24Oct 26, 2022Updated 3 years ago
- Diffusive Nested Sampling☆20Jun 1, 2016Updated 10 years ago
- suite to deal with passband photometry☆65Mar 9, 2026Updated 6 months ago
- Joint X-ray and SZ data fitting code for galaxy clusters in Python☆11Nov 24, 2021Updated 4 years ago
- Official PyTorch implementation of Diffusive Gibbs Sampler (DiGS), proposed in the paper Diffusive Gibbs Sampling (published at ICML 2024…☆11Aug 15, 2024Updated 2 years ago
- Souce code for our ARA&A review of Gaussian process regression for astronomical time-series☆38Updated this week
- Combined Hierarchical Inference Model for Electromagnetic and gRavitational Wave Analysis☆16Sep 21, 2026Updated last week
- A python package designed to run numerical simulations of galactic chemical evolution☆28Feb 26, 2026Updated 7 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.☆39Mar 20, 2020Updated 6 years ago
- Official implementation for the paper "Sample-Then-Optimize Batch Neural Thompson Sampling", published at NeurIPS 2022.☆12Oct 13, 2022Updated 3 years ago
- Updated version of the Sparse Lens Inversion Technique (SLIT) for use within the lens modelling code lenstronomy☆10Jan 31, 2022Updated 4 years ago
- Dynamic Nested Sampling package for computing Bayesian posteriors and evidences☆424Updated this week
- An omni-sampler for Bayesian MCMC☆60Sep 15, 2026Updated 2 weeks ago
- pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation☆126Sep 11, 2025Updated last year
- Under Development A package for solar X-ray spectroscopy☆25Updated this week