free-spaced-repetition-scheduler
simple-spaced-repetition
| free-spaced-repetition-scheduler | simple-spaced-repetition | |
|---|---|---|
| 11 | 4 | |
| 260 | 11 | |
| 5.8% | - | |
| 5.3 | 6.4 | |
| 24 days ago | 4 months ago | |
| Python | Python | |
| MIT License | MIT License |
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free-spaced-repetition-scheduler
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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?
simple-spaced-repetition
- Show HN: Python.cards – Learn Python with spaced repetition
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Memorizing a programming language using spaced repetition software (2013)
This is the basic idea behind https://python.cards, the site I'm building to learn Python with spaced repetition.
The hard thing is building the deck. With pre-built decks I expect to greatly reduce the effort required while getting most of the benefits of spaced repetition learning.
- Anki – Powerful, intelligent flash cards
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FSRS: A modern, efficient spaced repetition algorithm
Very interesting. According to the benchmarks, with this algorithm, users can review 20-30% fewer cards than with the classic Anki algorithm.
Just a few days ago, I published a Python implementation of the classic SM-2 algorithm that I use for https://python.cards, but I may switch to FSRS. https://github.com/vlopezferrando/simple-spaced-repetition
What are some alternatives?
fsrs4anki - A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
vocabsieve - Simple sentence mining tool for language learning
highlight-search-results - Highlight Search Results in the Browser add-on for Anki
fsrs4anki-helper - An Anki add-on that reschedules all cards via FSRS4Anki scheduler
flashcards-obsidian - 🎴 An Anki plugin for Obsidian.md
autoEaseFactor - Adjust ease factors in Anki based off of performance in order to hit a target success rate.
yomitan - Japanese pop-up dictionary extension for Chrome and Firefox. Fork of yomichan.
SSP-MMC - A Stochastic Shortest Path Algorithm for Optimizing Spaced Repetition Scheduling
tatoeba-to-anki - Creates Anki Flash cards from Tatoeba sentences, ordering them by difficulty and downloading audio
anki-delay-siblings
Anki-Android - AnkiDroid: Anki flashcards on Android. Your secret trick to achieve superhuman information retention.