srs-benchmark
A benchmark for spaced repetition schedulers/algorithms (by open-spaced-repetition)
ebisu
Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!) (by fasiha)
srs-benchmark | ebisu | |
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4 | 4 | |
40 | 303 | |
- | - | |
9.3 | 0.0 | |
about 21 hours ago | 4 months ago | |
Jupyter Notebook | Python | |
- | The Unlicense |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
srs-benchmark
Posts with mentions or reviews of srs-benchmark.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-15.
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FSRS: A modern, efficient spaced repetition algorithm
I've shared it here in the original ticket that added the benchmark confidence intervals https://github.com/open-spaced-repetition/fsrs-benchmark/iss...
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FSRS is now the most accurate spaced repetition algorithm in the world*
Here's the link to the benchmark repository: https://github.com/open-spaced-repetition/fsrs-benchmark/tree/Feat/new-dataset
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In the 1st anniversary of FSRS, I want to share some progress of recent works.
Recently, I have run three comparisons for spaced repetition algorithms. They included SM-15, SM-17, SM-2, HLR, LSTM and FSRS series. The initial result shows that FSRS v4 beats all other algorithms in predicting probability of recall. It's a good news that the open-source algorithm can overperform SuperMemo's proprietary algorithm.
ebisu
Posts with mentions or reviews of ebisu.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-27.
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Anki – Powerful, intelligent flash cards
I really wish something like https://github.com/fasiha/ebisu becomes the norm. That is, the idea of fitting the cards to your time (by prioritising) rather than you having to do everything there software wants.
The only bit missing is some algorithm deciding how often to introduce new cards based on your historical data.
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FSRS: A modern, efficient spaced repetition algorithm
It seems from the description that FSRS still puts an exact review date on each card? This feature was pretty much the reason why I stopped using Anki. I'm not in college and not doing exams, I just want to practice when I feel like it, maybe with large breaks between sessions, and not feel like there's a backlog building up.
I think Anki is a great app, I just wish there was an algorithm that would just randomly sample cards (with probability proportional to how urgently you need to review it) rather than put a review date on them. Something like https://github.com/fasiha/ebisu but available as an Anki plugin (if that supports custom algorithms on mobile yet?) or a similar app with an open format for cards.
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Study Sets: The reason why cards repeat a lot (algorithm explanation)
"GoodNotes uses the Ebisu algorithm for its spaced repetition feature. Ebisu uses a Bayesian model to estimate the probability of remembering a given flashcard, which allows faster adaptation to changes in recall ability. Both algorithms have been shown to be effective in practice, you can learn more about Ebisu at https://fasiha.github.io/ebisu/ "
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Am I using Anki wrong?
This is a fundamental issue with SM-2 and how ease factors work. I personally have my Anki settings set up such that there is no ease factor penalty, though I will be working on porting Ebisu v3 to Anki's v3 scheduler once it's ready, which should finally allow us to have proper adaptive ease factors for cards (on all platforms) without the ease hell problem.