PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
☆131Aug 1, 2026Updated last 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☆93Oct 16, 2025Updated 9 months ago
- cpm is a fundamental scientific modelling library for Computational Psychiatry.☆23Jul 28, 2026Updated 2 weeks ago
- Code for Tajima et al. (2019). Optimal policy for multi-alternative decisions. Nature Neuroscience.☆10Aug 23, 2019Updated 6 years ago
- ☆10Apr 5, 2022Updated 4 years ago
- Simulate Evidence Accumulation Models in Python☆23Nov 16, 2021Updated 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.
- 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.☆1,108Updated this week
- Tutorials and sampling algorithm comparisons☆86Updated this week
- Package to Train LANs (Likelihood approximation networks)☆16Updated this week
- ☆17Oct 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☆121Updated this week
- Python wrapper for nuts-rs☆205Updated this week
- Tools for serving and storing data from online experiments.☆19Jul 27, 2026Updated 2 weeks ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- State of the art inference for your bayesian models.☆248Jan 14, 2026Updated 6 months ago
- Code to reproduce experiments in Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows☆14May 23, 2024Updated 2 years ago
- ☆11Jul 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 efficient Bayesian modeling with deep learning☆738Updated this week
- ☆18Apr 2, 2023Updated 3 years ago
- 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☆34Jun 25, 2023Updated 3 years ago
- Differential evolution in R☆31Nov 9, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- All things Monte Carlo, written in JAX.☆34Mar 20, 2023Updated 3 years ago
- 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)☆23Apr 17, 2024Updated 2 years ago
- Solve ODEs fast, with support for PyMC☆121May 13, 2024Updated 2 years ago
- Tools for an Aesara-based PPL.☆67Oct 28, 2024Updated last year
- A Python library for variational inference with normalizing flow and annealing☆15Mar 13, 2025Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Gradient-informed particle MCMC methods☆12Jan 29, 2024Updated 2 years ago
- Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)☆23Aug 6, 2026Updated last week
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆34Mar 24, 2017Updated 9 years ago
- Multi-group Gaussian process (MGGP)☆23Jul 24, 2024Updated 2 years ago
- Self-tuning HMC algorithms and evaluations☆18Oct 10, 2024Updated last year
- 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