Cytobench
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)
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Release files for cytobench 0.1.27
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| cytobench-0.1.27.tar.gz | 10.4 kB | Without provenance | Details for cytobench-0.1.27.tar.gz |
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| File | Interpreter | ABI | Platform | Actions Reset |
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| cytobench-0.1.27-py3-none-any.whl | Python 3 | none | any | Details for cytobench-0.1.27-py3-none-any.whl |
Total release size: 20.6 kB
Release files / cytobench-0.1.27.tar.gz
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Release files / cytobench-0.1.27-py3-none-any.whl
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| Size | 10.3 kB |
| Tags | Python 3 |
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