Overview

scisbi is a Scientific Machine Learning package for Simulation Based Inference.

What is scisbi?

scisbi provides tools and algorithms for simulation-based inference, allowing researchers to:

• Perform approximate Bayesian computation (ABC)

• Use advanced inference methods like JANA and Simformer

• Work with various simulators for different scientific domains

• Apply statistical inference techniques to complex models

Key Features

• Inference Methods: ABC, ABCMC, ABCSMC, JANA, Simformer

• Simulators: Gaussian, Gaussian Mixture, GRN, Lotka-Volterra, Two Moon

Getting Started

See the Quick Start guide to begin using scisbi in your projects.