PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
☆133Oct 8, 2026Updated this week
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☆95Updated this week
- cpm is a fundamental scientific modelling library for Computational Psychiatry.☆24Updated this week
- Code for Tajima et al. (2019). Optimal policy for multi-alternative decisions. Nature Neuroscience.☆10Aug 23, 2019Updated 7 years ago
- ☆10Apr 5, 2022Updated 4 years ago
- Simulate Evidence Accumulation Models in Python☆23Nov 16, 2021Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- An HMC/NUTS implementation in Aesara☆31Jun 22, 2023Updated 3 years ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,132Updated this week
- Tutorials and sampling algorithm comparisons☆85Updated this week
- ☆19Oct 17, 2024Updated last year
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Oct 23, 2023Updated 2 years ago
- Development of HSSM package☆127Updated this week
- Python wrapper for nuts-rs☆208Oct 5, 2026Updated last week
- Tools for serving and storing data from online experiments.☆19Jul 27, 2026Updated 2 months ago
- State of the art inference for your bayesian models.☆249Jan 14, 2026Updated 8 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆233May 3, 2023Updated 3 years ago
- Code to reproduce experiments in Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows☆14May 23, 2024Updated 2 years ago
- ☆10Jul 9, 2025Updated last year
- This project has moved to https://github.com/nimh-dsst/OpenCogData☆25Dec 3, 2023Updated 2 years ago
- A Python library for simulation-based inference with deep learning☆777Updated this week
- Jupyter Book for PSYC 347-01 (Computational Models of Human Social Behavior and Neuroscience) - Instructor: Shawn A Rhoads☆21Feb 1, 2022Updated 4 years ago
- Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB☆35Jun 25, 2023Updated 3 years ago
- Differential evolution in R☆31Nov 9, 2022Updated 3 years ago
- All things Monte Carlo, written in JAX.☆34Mar 20, 2023Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Demixed Shared Component Analysis☆13Oct 22, 2020Updated 5 years ago
- ☆60Apr 15, 2024Updated 2 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Jul 3, 2020Updated 6 years ago
- Sampling with Blackjax on Aesara☆11Mar 10, 2023Updated 3 years ago
- Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)☆24Apr 17, 2024Updated 2 years ago
- Solve ODEs fast, with support for PyMC☆123May 13, 2024Updated 2 years ago
- Tools for an Aesara-based PPL.☆68Oct 28, 2024Updated last year
- A Python library for variational inference with normalizing flow and annealing☆15Mar 13, 2025Updated last year
- Gradient-informed particle MCMC methods☆12Jan 29, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)☆25Sep 15, 2026Updated 3 weeks ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆34Mar 24, 2017Updated 9 years ago
- Self-tuning HMC algorithms and evaluations☆18Oct 10, 2024Updated 2 years ago
- Multi-group Gaussian process (MGGP)☆23Jul 24, 2024Updated 2 years ago
- Programming in Psychological Science course. This repository contains materials for a R + Python intro course.☆17May 3, 2023Updated 3 years ago
- 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
- A curated list of awesome Bayesian statistics blogs and resources☆24Nov 12, 2023Updated 2 years ago