A Python library for efficient Bayesian modeling with deep learning
☆647Mar 24, 2026Updated this week
Alternatives and similar repositories for bayesflow
Users that are interested in bayesflow are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This is a community-driven collection of resources around amortized inference.☆63Jan 22, 2026Updated 2 months ago
- Contains the code for reproducing the experiments and results of the paper "Neural Superstatistics: A Bayesian Method for Estimating Dyna…☆14Aug 18, 2023Updated 2 years ago
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆805Mar 17, 2026Updated last week
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆18Jul 4, 2024Updated last year
- Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"☆24Dec 20, 2020Updated 5 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.
- State of the art inference for your bayesian models.☆235Jan 14, 2026Updated 2 months ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆151Jan 28, 2026Updated last month
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,033Feb 3, 2026Updated last month
- Python wrapper for nuts-rs☆192Updated this week
- ☆223Feb 21, 2026Updated last month
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆256Oct 28, 2025Updated 4 months ago
- An R package for easy and flexible Bayesian Measurement Modeling☆17Mar 20, 2026Updated last week
- Particle Gibbs sampler for Bayesian additive regression trees (BART) in Rust.☆14Feb 6, 2026Updated last month
- Learning Robust Statistics for Simulation-Based Inference Under Model Misspecification (Huang et al., Neurips 2023)☆12Jul 15, 2025Updated 8 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.
- Development of HSSM package☆112Mar 20, 2026Updated last week
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆79Jun 20, 2025Updated 9 months ago
- A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.☆47Jul 10, 2024Updated last year
- Probabilistic Programming and Nested sampling in JAX☆228Mar 15, 2026Updated last week
- Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.☆32Nov 1, 2023Updated 2 years ago
- The tiniest of Gaussian Process libraries☆337Mar 15, 2026Updated last week
- Gradient Based Nested Sampling☆21Feb 2, 2024Updated 2 years ago
- nessai: Nested Sampling with Artificial Intelligence☆47Feb 24, 2026Updated last month
- C++ Diffusion model toolset with Python and Matlab interfaces☆16Dec 14, 2020Updated 5 years ago
- 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.
- ☆32Updated this week
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Feb 15, 2022Updated 4 years ago
- Likelihood-Free Frequentist Inference☆21Mar 20, 2026Updated last week
- Fast, lightweight and parallelised simulation-based inference in JAX.☆23Oct 28, 2025Updated 4 months ago
- Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics☆102Dec 29, 2025Updated 2 months ago
- Simulation-based inference benchmark☆110Jan 23, 2025Updated last year
- Code to reproduce experiments in Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows☆13May 23, 2024Updated last year
- Python Package which collects simulators for Sequential Sampling Models☆19Mar 18, 2026Updated last week
- Package for Neural Posterior Estimation and Importance Sampling focused on Astronomical Applications☆40Aug 12, 2025Updated 7 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)☆22Apr 17, 2024Updated last year
- Simulation-based inference in JAX☆47Mar 20, 2026Updated last week
- ggdmc provides tools to conduct Bayesian inference on a range of choice response time models.☆19Oct 29, 2025Updated 4 months ago
- pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation☆120Sep 11, 2025Updated 6 months ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…☆30Mar 13, 2024Updated 2 years ago
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆124Mar 9, 2026Updated 2 weeks ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,632Updated this week