SSP-MMC
A Stochastic Shortest Path Algorithm for Optimizing Spaced Repetition Scheduling (by maimemo)
free-spaced-repetition-scheduler
A spaced repetition algorithm based on DSR model (by open-spaced-repetition)
| SSP-MMC | free-spaced-repetition-scheduler | |
|---|---|---|
| 8 | 11 | |
| 115 | 258 | |
| 0.0% | 5.0% | |
| 3.6 | 5.3 | |
| 6 days ago | 15 days ago | |
| Python | Python | |
| MIT License | MIT License |
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.
SSP-MMC
Posts with mentions or reviews of SSP-MMC.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-08.
- Main updates of FSRS4Anki from v3.7.0 to v3.23.0
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If I had a dollar for every Anki review...
FSRS is based on the DSR model proposed by Piotr Wozniak, the author of SuperMemo. FSRS is improved with the DHP model introduced in the paper: A Stochastic Shortest Path Algorithm for Optimizing Spaced Repetition Scheduling.
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I used FSRS Helper to reschedule my cards
free access: www.maimemo.com/paper/
- The next version of AnkiMobile will support FSRS4Anki!
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How to use the next-generation spaced repetition algorithm FSRS on Anki?
FSRS4Anki, aka Free Spaced Repetition Schedule for Anki, is based on the three-component model of memory proposed by Piotr Wozniak and the stochastic shortest path algorithm introduced in my paper. It makes great progress in memory prediction and scheduling optimization.
- GitHub - maimemo/SSP-MMC: A Stochastic Shortest Path Algorithm for Optimizing Spaced Repetition Scheduling
- A Stochastic Shortest Path Algorithm for Optimizing Spaced Repetition Scheduling | Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
free-spaced-repetition-scheduler
Posts with mentions or reviews of free-spaced-repetition-scheduler.
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
... https://github.com/open-spaced-repetition/fsrs4anki/wiki/The... ...
I'm not sure I believe we understand our own learning/memory anything like enough for this not to be total pseudoscience? Reminds me of A Beautiful Mind.
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FSRS: A modern, efficient spaced repetition algorithm
Libraries: https://github.com/open-spaced-repetition/free-spaced-repeti...
All are MIT licensed I believe, Anki is primarily AGPL
- The FSRS (Free Spaced Repetition Scheduler) Algorithm
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FSRS explained, part 1: What it is and how it works
Just read the wiki ¯\_(ツ)_/¯
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FSRS is supported in AnkiMobile now!
The model used by FSRS: https://github.com/open-spaced-repetition/fsrs4anki/wiki/Free-Spaced-Repetition-Scheduler
- How to use the next-generation spaced repetition algorithm FSRS on Anki?
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How did I publish a paper in ACMKDD as an undergraduate? A fantastic research experience on spaced repetition algorithm. Open source the code and dataset.
Also, sorry for nitpicking, but I just checked the code here, and I saw that you changed the formula for post-lapse stability, but you didn't update the formula in the description here.
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New progress in implementing the custom algorithm.
I have another one, also about difficulty. Look at the long "Stability updating formula after successful review" formula, there is a term D-b. This seems very counter-intuitive. A large value of D corresponds to an easy card, but thanks to that formula it will produce a very small change in stability. A small value of D corresponds to a difficult card, but according to that formula it will change stability a lot.
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Implement a new spaced repetition algorithm based on anki custom scheduling.
So I checked this and it seems that there's a whole bunch of different parameters (initial difficulty, initial stability, etc), and a lot of them are constant. So the next step would be to use some kind of optimization algorithm, like gradient descent, to optimize those parameters based on user's review history, right?
What are some alternatives?
When comparing SSP-MMC and free-spaced-repetition-scheduler you can also consider the following projects:
fsrs4anki - A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
Anki-Android - AnkiDroid: Anki flashcards on Android. Your secret trick to achieve superhuman information retention.
highlight-search-results - Highlight Search Results in the Browser add-on for Anki
fsrs-optimizer - FSRS Optimizer Package
fsrs4anki-helper - An Anki add-on that reschedules all cards via FSRS4Anki scheduler
thoughts-memo - Thoughts Memo 小站
autoEaseFactor - Adjust ease factors in Anki based off of performance in order to hit a target success rate.
anki_straight_reward - Escape Ease Hell!
tatoeba-to-anki - Creates Anki Flash cards from Tatoeba sentences, ordering them by difficulty and downloading audio
anki-delay-siblings
SSP-MMC vs fsrs4anki
free-spaced-repetition-scheduler vs fsrs4anki
SSP-MMC vs Anki-Android
free-spaced-repetition-scheduler vs highlight-search-results
SSP-MMC vs fsrs-optimizer
free-spaced-repetition-scheduler vs fsrs4anki-helper
SSP-MMC vs thoughts-memo
free-spaced-repetition-scheduler vs autoEaseFactor
SSP-MMC vs anki_straight_reward
free-spaced-repetition-scheduler vs tatoeba-to-anki
SSP-MMC vs fsrs4anki-helper
free-spaced-repetition-scheduler vs anki-delay-siblings