sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.
☆828Jun 5, 2026Updated this week
Alternatives and similar repositories for sbi
Users that are interested in sbi are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Simulation-based inference benchmark☆113Jan 23, 2025Updated last year
- A system for scientific simulation-based inference at scale.☆172Mar 30, 2024Updated 2 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Jul 3, 2020Updated 5 years ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆82Jun 20, 2025Updated 11 months ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆135Aug 21, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆111Sep 11, 2023Updated 2 years ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆158Jan 28, 2026Updated 4 months ago
- Conditional density estimation with neural networks☆35Jan 18, 2025Updated last year
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆54Apr 15, 2022Updated 4 years ago
- Simulation-based inference in JAX☆52Mar 25, 2026Updated 2 months ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Apr 12, 2023Updated 3 years ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,087May 31, 2026Updated last week
- Normalizing flows in PyTorch☆1,017Dec 27, 2024Updated last year
- A Python library for efficient Bayesian modeling with deep learning☆672Jun 3, 2026Updated last week
- 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.
- The tiniest of Gaussian Process libraries☆347Jun 1, 2026Updated last week
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆258Oct 28, 2025Updated 7 months ago
- Probabilistic Programming and Nested sampling in JAX☆236May 13, 2026Updated 3 weeks ago
- Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".☆15Nov 14, 2022Updated 3 years ago
- Neural likelihood-free methods in PyTorch.☆39Feb 11, 2020Updated 6 years ago
- Simulation-based (likelihood-free) inference customized for astronomical applications☆30Nov 4, 2024Updated last year
- Robust ML in Astro☆78May 6, 2026Updated last month
- ☆635May 13, 2026Updated 3 weeks ago
- Fast, lightweight and parallelised simulation-based inference in JAX.☆23Oct 28, 2025Updated 7 months ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Normalizing flows in PyTorch☆460Mar 10, 2026Updated 3 months ago
- pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation☆121Sep 11, 2025Updated 8 months ago
- Probabilistic modeling of tabular data with normalizing flows.☆62May 6, 2026Updated last month
- State of the art inference for your bayesian models.☆242Jan 14, 2026Updated 4 months ago
- Meeting repo for likelihood free inference meeting☆14Oct 6, 2022Updated 3 years ago
- Sequential Neural Likelihood☆42Sep 12, 2019Updated 6 years ago
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆17Dec 4, 2023Updated 2 years ago
- Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.☆13Jun 24, 2023Updated 2 years ago
- nessai: Nested Sampling with Artificial Intelligence☆49Feb 24, 2026Updated 3 months 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.
- Dynamic Nested Sampling package for computing Bayesian posteriors and evidences☆409May 12, 2026Updated 3 weeks ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,698May 31, 2026Updated last week
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆81Mar 18, 2026Updated 2 months ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆34May 12, 2023Updated 3 years ago
- ELFI - Engine for Likelihood-Free Inference☆283May 7, 2025Updated last year
- A differentiable cosmology library in JAX☆240Jun 27, 2025Updated 11 months ago
- S2FFT: Differentiable and accelerated spherical transforms☆226Updated this week