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ssm-simulators

SSMS is a package collecting simulators and training data generators for a bunch of generative models of interest in the cognitive science / neuroscience and approximate bayesian computation communities

  • 0.7.9
  • PyPI
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SSMS (Sequential Sampling Model Simulators)

Python Package which collects simulators for Sequential Sampling Models.

Find the package documentation here.

PyPI PyPI_dl Code style: black License: MIT

Quick Start

The ssms package serves two purposes.

  1. Easy access to fast simulators of sequential sampling models
  2. Support infrastructure to construct training data for various approaches to likelihood / posterior amortization

We provide two minimal examples here to illustrate how to use each of the two capabilities.

Install

Let's start with installing the ssms package.

You can do so by typing,

pip install ssm-simulators

in your terminal.

Below you find a basic tutorial on how to use the package.

Tutorial

Check the basic tutorial here.

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