LearningCards
ebisu
LearningCards | ebisu | |
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1 | 4 | |
4 | 304 | |
- | - | |
0.0 | 0.0 | |
over 2 years ago | 3 months ago | |
Python | Python | |
MIT License | The Unlicense |
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LearningCards
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Looking for a Quiz platform
I created a very simple app a few years ago. Since I finished studying I have not developed it further but I know some people are still using it. Might be something for you. https://github.com/vabene1111/LearningCards
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.
What are some alternatives?
RELATE - RELATE is an Environment for Learning And TEaching
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.
quiz_gen - Autogenerate Kahoot quizzes from your notes!
dekki - An ML based spaced repetition algorithm to help you learn faster and remember longer.
GUI-Quiz-Tkinter - A Python GUI Quiz Application built using Tkinter and Open Trivia DB
option-pricer - Option pricing using Black-Scholes model, Bachelier model, Binomial Trees and Monte Carlo simulation under different stochastic processes
MLH-Quizzet - This is a smart Quiz Generator that generates a dynamic quiz from any uploaded text/PDF document using NLP. This can be used for self-analysis, question paper generation, and evaluation, thus reducing human effort.
Midnight - Midnight Score Probabilities using a Monte Carlo Simulation
quiz - Create a quiz from json files
monaco - Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
vocabsieve - Simple sentence mining tool for language learning
anki-ultimate-geography - Geography flashcard deck for Anki