https://github.com/open-spaced-repetition/py-fsrs/releases/tag/v2.5.1
Tag: FSRS
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New repository regarding presets and collection vs deck level optimization
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Just over 550K reviews during my USMLE Step 1 exam.
How to contribute:
https://docs.google.com/forms/d/e/1FAIpQLSekiv2g00goXKZnRd7AokIq9GFyI9eq2Ne48TfLWluIQwYoxQ/viewform
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A new version of FSRS, FSRS-4.5, has been integrated into the newest version of Anki, 23.12. It is recommended to reoptimize your parameters. The benchmark has been updated, here’s the new data:
Note that the number of reviews used has decreased a little because LMSherlock added an outlier filter.
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RMSE is the root mean square error, can be interpreted as “the average difference between predicted and measured R”
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Junyao Ye, also known as Jarrett Ye is the author of the new stochastic model of spaced repetition
“It’s a substantial extension of my previous conference paper A Stochastic Shortest Path Algorithm for Optimizing Spaced Repetition Scheduling. FSRS is based on the model proposed in that paper.”
/root 