Welcome to Cytobench, the friendliest benchmarking library in the village!
This repository is meant as a demo implementation of a scoring pipeline to evaluate generative models capabilities of recapitulating target empirical distributions via Pointwise Empirical Distance estimation, as presented in (paper_link). Most of the functionalities are presented in the Jupyter notebooks, which can be run interactively via Colab without having to create a local enviornment.
The code is not meant as a performant implementation, nor has it been protected by proper safety checks: do not use this in production environments!
You can install the latest version via pip:
pip install cytobench
If you use this library in your work please cite: (citation)
FAQs
Benchmarking library for generative algorithms
We found that cytobench demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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