Projects in Awesome Lists tagged with simulation-based-inference

https://github.com/mackelab/sbi

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.

bayesian-inference likelihood-free-inference machine-learning parameter-estimation pytorch simulation-based-inference

Last synced: 05 Apr 2025

https://github.com/sbi-dev/sbi

Simulation-based inference toolkit

bayesian-inference likelihood-free-inference machine-learning parameter-estimation pytorch simulation-based-inference

Last synced: 04 May 2025

https://github.com/undark-lab/swyft

A system for scientific simulation-based inference at scale.

likelihood-free-inference machine-learning marginal-neural-ratio-estimation neural-ratio-estimation parameter-estimation python pytorch simulation-based-inference truncated-neural-ratio-estimation

Last synced: 27 Mar 2025

https://github.com/probabilists/lampe

Likelihood-free AMortized Posterior Estimation with PyTorch

bayesian density-estimation density-ratio-estimation inference likelihood-free-inference normalizing-flows probability python pytorch simulation-based-inference

Last synced: 09 Apr 2025

https://github.com/montefiore-institute/hypothesis

A Python toolkit for (simulation-based) inference and the mechanization of science.

deep-learning inference likelihood-free simulation-based-inference

Last synced: 11 Jan 2025

https://github.com/probcomp/genify.jl

Automatically convert Julia methods to Gen functions.

probabilistic-programming program-transformation simulation-based-inference

Last synced: 08 May 2025

https://github.com/joerihermans/constraining-dark-matter-with-stellar-streams-and-ml

Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.

astrophysics dark-matter deep-learning likelihood-free-inference machine-learning simulation-based-inference

Last synced: 13 Jan 2025

https://github.com/acerbilab/amortized-conditioning-engine

Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)

bayesian-optimization meta-learning neural-processes probabilistic-machine-learning simulation-based-inference

Last synced: 16 Apr 2025

https://github.com/dirmeier/sbijax

Simulation-based inference in JAX

abc approximate-bayesian-computation normalizing-flows python simulation-based-inference smc-abc

Last synced: 16 Mar 2025

https://github.com/maximevandegar/neb

Code for reproducing the experiments in the paper Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference.

empirical-bayes inverse-problems neural-empirical-bayes simulation-based-inference source-distribution-estimation

Last synced: 19 Apr 2025

https://github.com/thomasgesseyjones/fullybayesianforecastsexample

Example of a fully Bayesian forecast using evidence networks applied to 21-cm cosmology

21cm-signal astronomy astrophysics bayesian-methods cosmology python simulation-based-inference statistics

Last synced: 19 Apr 2025

https://github.com/yandexdataschool/inverse-problem-intensive

A short course on simulation-based infernce for physics at YSDA in April 2021

bayesian-inference inference machine-learning neural-ode optimisation simulation-based-inference surrogate-based-optimization

Last synced: 10 Apr 2025

https://github.com/jbris/model-calibration-evaluation

Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference

approximate-bayesian-computation bayesian-optimization bayesian-statistics bolfi deep-learning differential-evolution-mcmc generative-neural-network global-optimization kriging likelihood-free-inference optuna polynomial-chaos polynomial-chaos-expansion pymc sensitivity-analysis shuffled-complex-evolution simulation-based-inference sobol-indices surrogate-models uncertainty-analysis

Last synced: 04 May 2025

https://github.com/jbris/deep-root-gen

A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.

3d-modelling 3d-models approximate-bayesian-computation bayesian-inference bayesian-statistics crop-model crop-modeling dash-app dash-plotly deep-learning generative-neural-network likelihood-free-inference normalising-flows normalizing-flows optuna root-system root-system-architecture sequential-monte-carlo simulation-based-inference simulation-modeling