ebisu
srs-benchmark
ebisu | srs-benchmark | |
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4 | 4 | |
303 | 38 | |
- | - | |
0.0 | 9.1 | |
4 months ago | 2 days ago | |
Python | Jupyter Notebook | |
The Unlicense | - |
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.
ebisu
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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.
srs-benchmark
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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.
What are some alternatives?
ent.hpp - A header-only library that applies various tests to sequences of bytes stored in files and reports the results of those tests. The class is useful for evaluating pseudorandom number generators for encryption and statistical sampling applications, compression algorithms, and other applications where the information density of a file is of interest.
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
dekki - An ML based spaced repetition algorithm to help you learn faster and remember longer.
FedScale - FedScale is a scalable and extensible open-source federated learning (FL) platform.
option-pricer - Option pricing using Black-Scholes model, Bachelier model, Binomial Trees and Monte Carlo simulation under different stochastic processes
fsrs-optimizer - FSRS Optimizer Package
Midnight - Midnight Score Probabilities using a Monte Carlo Simulation
Anki-Android - AnkiDroid: Anki flashcards on Android. Your secret trick to achieve superhuman information retention.
monaco - Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
free-spaced-repetition-scheduler - A spaced repetition algorithm based on DSR model
LearningCards - Simple collaborative online version of learning/flash cards
halflife-regression