A Python library for efficient Bayesian modeling with deep learning
☆642Mar 5, 2026Updated this week
Alternatives and similar repositories for bayesflow
Users that are interested in bayesflow are comparing it to the libraries listed below
Sorting:
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆793Feb 27, 2026Updated last week
- State of the art inference for your bayesian models.☆233Jan 14, 2026Updated last month
- This is a community-driven collection of resources around amortized inference.☆61Jan 22, 2026Updated last month
- 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
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,021Feb 3, 2026Updated last month
- Python wrapper for nuts-rs☆190Updated this week
- Community-sourced list of papers and resources on neural simulation-based inference.☆149Jan 28, 2026Updated last month
- ☆219Feb 21, 2026Updated last week
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆255Oct 28, 2025Updated 4 months ago
- Particle Gibbs sampler for Bayesian additive regression trees (BART) in Rust.☆14Feb 6, 2026Updated last month
- Probabilistic Programming and Nested sampling in JAX☆223Feb 27, 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
- The tiniest of Gaussian Process libraries☆333Updated this week
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Feb 15, 2022Updated 4 years ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆79Jun 20, 2025Updated 8 months ago
- ggdmc provides tools to conduct Bayesian inference on a range of choice response time models.☆19Oct 29, 2025Updated 4 months ago
- Fast, lightweight and parallelised simulation-based inference in JAX.☆23Oct 28, 2025Updated 4 months ago
- Development of HSSM package☆110Updated this week
- pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation☆120Sep 11, 2025Updated 5 months ago
- Gradient Based Nested Sampling☆21Feb 2, 2024Updated 2 years ago
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆124Updated this week
- An R package to help assess the sensitivity of a Bayesian model (fitted with Stan) to the specification of its likelihood and priors☆11Apr 8, 2025Updated 10 months ago
- A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.☆47Jul 10, 2024Updated last year
- An R package for easy and flexible Bayesian Measurement Modeling☆17Updated this week
- Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics☆102Dec 29, 2025Updated 2 months ago
- Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.☆32Nov 1, 2023Updated 2 years ago
- Self-tuning HMC algorithms and evaluations☆19Oct 10, 2024Updated last year
- Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)☆22Apr 17, 2024Updated last year
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆90Jan 15, 2026Updated last month
- nessai: Nested Sampling with Artificial Intelligence☆47Feb 24, 2026Updated last week
- Simulation-based inference in JAX☆45Nov 24, 2025Updated 3 months ago
- Estimate Parameters for Arbitrary R Functions using 'Stan'☆27Jan 25, 2026Updated last month
- Step size adaptation for the No-U-Turn Sampler☆27Nov 25, 2025Updated 3 months ago
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆18Dec 4, 2023Updated 2 years ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,612Updated this week
- Package for Neural Posterior Estimation and Importance Sampling focused on Astronomical Applications☆40Aug 12, 2025Updated 6 months ago
- BAyesian Model-Building Interface (Bambi) in Python.☆1,244Feb 19, 2026Updated 2 weeks ago
- A system for scientific simulation-based inference at scale.☆167Mar 30, 2024Updated last year