PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
☆124Feb 7, 2026Updated 3 weeks ago
Alternatives and similar repositories for pyvbmc
Users that are interested in pyvbmc are comparing it to the libraries listed below
Sorting:
- PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python☆84Oct 16, 2025Updated 4 months ago
- A Julia package for behavioural modeling☆25Dec 5, 2025Updated 2 months ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Oct 23, 2023Updated 2 years ago
- ☆10Apr 5, 2022Updated 3 years ago
- Package to Train LANs (Likelihood approximation networks)☆13Feb 10, 2026Updated 3 weeks ago
- ☆20Sep 30, 2025Updated 5 months ago
- ☆14Jan 23, 2026Updated last month
- An HMC/NUTS implementation in Aesara☆31Jun 22, 2023Updated 2 years ago
- Code for Tajima et al. (2019). Optimal policy for multi-alternative decisions. Nature Neuroscience.☆10Aug 23, 2019Updated 6 years ago
- Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB☆33Jun 25, 2023Updated 2 years ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,021Feb 3, 2026Updated last month
- GW polarization parameterizations and corresponding Jacobians.☆12Sep 26, 2023Updated 2 years ago
- Gradient-informed particle MCMC methods☆12Jan 29, 2024Updated 2 years ago
- State of the art inference for your bayesian models.☆233Jan 14, 2026Updated last month
- A Python library for efficient Bayesian modeling with deep learning☆641Updated this week
- Tutorials and sampling algorithm comparisons☆80Feb 25, 2026Updated last week
- Python wrapper for nuts-rs☆190Feb 23, 2026Updated last week
- This project has moved to https://github.com/nimh-dsst/OpenCogData☆25Dec 3, 2023Updated 2 years ago
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆233May 3, 2023Updated 2 years ago
- ☆16Oct 17, 2024Updated last year
- Demixed Shared Component Analysis☆13Oct 22, 2020Updated 5 years ago
- A Python library for variational inference with normalizing flow and annealing☆15Mar 13, 2025Updated 11 months ago
- All things Monte Carlo, written in JAX.☆33Mar 20, 2023Updated 2 years ago
- A Package for Bayesian inference of expensive likelihoods with Gaussian Processes☆28Nov 13, 2025Updated 3 months ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆34Mar 24, 2017Updated 8 years ago
- Conditional density estimation with neural networks☆35Jan 18, 2025Updated last year
- Julia implementation of elliptical slice sampling.☆16Dec 4, 2025Updated 2 months ago
- Stochastic Gradient Markov Chain Monte Carlo and Optimisation☆17Mar 21, 2017Updated 8 years ago
- Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)☆21Jan 27, 2026Updated last month
- Differential evolution in R☆30Nov 9, 2022Updated 3 years ago
- Solve ODEs fast, with support for PyMC☆120May 13, 2024Updated last year
- Fast Bayesian Inference in Python. 50+ conjugate models with vectorized updates, sufficient statistic helpers, built-in plotting, and Sci…☆39Feb 23, 2026Updated last week
- ☆18Apr 2, 2023Updated 2 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Jul 3, 2020Updated 5 years ago
- Jupyter Book for PSYC 347-01 (Computational Models of Human Social Behavior and Neuroscience) - Instructor: Shawn A Rhoads☆20Feb 1, 2022Updated 4 years ago
- Threaded versions of collection functions in Julia☆18Apr 25, 2024Updated last year
- Prior Sampling for high dimension data with domain knowledge.☆10Jan 11, 2022Updated 4 years ago
- ☆56Apr 15, 2024Updated last year
- Bayesian Inference of Complex Panel Data☆37Feb 1, 2026Updated last month