PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
☆126Mar 9, 2026Updated last month
Alternatives and similar repositories for pyvbmc
Users that are interested in pyvbmc are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python☆86Oct 16, 2025Updated 5 months ago
- Package to Train LANs (Likelihood approximation networks)☆15Mar 31, 2026Updated last week
- ☆10Apr 5, 2022Updated 4 years ago
- An HMC/NUTS implementation in Aesara☆31Jun 22, 2023Updated 2 years ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,044Updated this week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB☆34Jun 25, 2023Updated 2 years ago
- Tutorials and sampling algorithm comparisons☆80Updated this week
- Python wrapper for nuts-rs☆195Updated this week
- ☆16Oct 17, 2024Updated last year
- Tools for serving and storing data from online experiments.☆18Jul 15, 2025Updated 8 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
- ☆14Jan 23, 2026Updated 2 months ago
- Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)☆21Jan 27, 2026Updated 2 months ago
- State of the art inference for your bayesian models.☆237Jan 14, 2026Updated 2 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code to reproduce experiments in Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows☆14May 23, 2024Updated last year
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆233May 3, 2023Updated 2 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆34Mar 24, 2017Updated 9 years ago
- A Python library for efficient Bayesian modeling with deep learning☆651Updated this week
- Jupyter Book for PSYC 347-01 (Computational Models of Human Social Behavior and Neuroscience) - Instructor: Shawn A Rhoads☆20Feb 1, 2022Updated 4 years ago
- ☆18Apr 2, 2023Updated 3 years ago
- All things Monte Carlo, written in JAX.☆33Mar 20, 2023Updated 3 years ago
- Demixed Shared Component Analysis☆13Oct 22, 2020Updated 5 years ago
- ☆58Apr 15, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Jul 3, 2020Updated 5 years ago
- Fast Bayesian Inference in Python. 50+ conjugate models with vectorized updates, sufficient statistic helpers, built-in plotting, and Sci…☆39Updated this week
- ☆20Sep 30, 2025Updated 6 months ago
- Sampling with Blackjax on Aesara☆11Mar 10, 2023Updated 3 years ago
- Differential evolution in R☆30Nov 9, 2022Updated 3 years ago
- Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)☆22Apr 17, 2024Updated last year
- Tools for an Aesara-based PPL.☆67Oct 28, 2024Updated last year
- Gradient-informed particle MCMC methods☆12Jan 29, 2024Updated 2 years ago
- Solve ODEs fast, with support for PyMC☆120May 13, 2024Updated last year
- 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.
- ☆10Jul 9, 2025Updated 9 months ago
- Evaluating methods for estimating aperiodic activity in electrophysiological data.☆16Sep 24, 2024Updated last year
- A Julia package for behavioural modeling☆26Mar 5, 2026Updated last month
- Multi-group Gaussian process (MGGP)☆23Jul 24, 2024Updated last year
- A curated list of awesome Bayesian statistics blogs and resources☆23Nov 12, 2023Updated 2 years ago
- Self-tuning HMC algorithms and evaluations☆18Oct 10, 2024Updated last year
- Python version of the the IMRPhenomD (non-precessing) algorithm by Khan et. al. (https://arxiv.org/abs/1508.07253, https://arxiv.org/abs…☆14Dec 27, 2019Updated 6 years ago