Software

An initial list of SBI-related software packages

Submit your software

  • SBI (python) - general purpose SBI framework
  • SBI Benchmarking (python) - for benchmarking
  • MadMiner - aimed at particle physics
  • swyft (python) the reference implementation of Truncated Marginal Neural Ratio Estimation (TMNRE), an efficient, simulation-based inference technique for complex data and expensive simulators
  • carl an early NN-based SBI package
  • lampe (python) is a flexible, amortized sbi library. The philosophy of LAMPE is to avoid obfuscation and expose all components so it is most useful for researchers.
  • pydelfi (python) with neural density estimators and adaptive acquisition of simulations.

Latest Posts

A Collaboration - Reports on Progress in Physics, 2025 - iopscience.iop.org

… The data analysis is performed using a neural simulation-based inference method, which builds per-event likelihood ratios using neural networks. The observed (expected…

D Refaeli, M Marcus-Kalish, DM Steinberg - arXiv preprint arXiv …, 2025 - arxiv.org

… Simulation-based inference (SBI) is employed to estimate parameters θ when we have a generating model with built-in randomness, but are unable to write down a …

H Häggström, S Persson, M Cvijovic… - arXiv preprint arXiv …, 2025 - arxiv.org

The analysis of data from multiple experiments, such as observations of several individuals, is commonly approached using mixed-effects models, which account for …

L Evans, OV Murad, L Dingeldein, P Cossio… - arXiv preprint arXiv …, 2025 - arxiv.org

… Simulation-based inference provides a powerful framework for cryo-electron microscopy, employing neural networks in methods like CryoSBI to infer biomolecular …