mnemosyne
ebisu
mnemosyne | ebisu | |
---|---|---|
19 | 4 | |
480 | 304 | |
2.3% | - | |
7.3 | 0.0 | |
12 days ago | 3 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | The Unlicense |
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mnemosyne
- The Mnemosyne Project: An Anki Alternative
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FSRS: A modern, efficient spaced repetition algorithm
I wonder if there is plan for this to land in Mnemosyne[1]. I prefer Mnemosyne over Anki because I can self-host the web-sync server.
1: https://mnemosyne-proj.org/
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How do you retain information when self learning?
I have tried using spaced repetition with Mnemosyne for math, specifically for learning Category Theory. It did help. Spaced repetition seems to work better for me if the answers to the questions are short (like learning Spanish vocabulary). When doing math, you often want to remember an entire definition, which might be too long to use spaced repetition flash cards effectively.
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Knot very smart
I've had good luck with spaced repetition using mnemosyne for lots of other stuff but haven't tried it for knots yet
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Hi, next week I have my first day as a software dev, and I'm kinda nervous.
Also, take the time to learn everyone's name and face. I use a flash card program like Mnemosyne to copy people's photos from the corporate directory. Learn them all the first week or even in the first couple of days.
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McMillan or PDG Promote?
https://mnemosyne-proj.org/ use this, make every relevant term a flash card and event a flash card. It takes forever to populate, but you learn on entry in addition to “study”.
- Consiglio sulle Flashcards?
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Ask HN: Recommendations for Spaced Repetition Beginners?
[15] https://mnemosyne-proj.org/ - OS alternative to Anki
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Best ways to study for initial CFI oral.
Anki is a spaced-repetition system based on Mnemosyne for studying flashcards in such a way that optimally loads facts into and maintains them in long-term memory. During daily study sessions, Anki shows flash cards, and you self-rate your ability to recall each correct answer. You review easier cards on a maintenance schedule, and Anki schedules the ones you have trouble with more frequently.
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Excited about Anki's Future Direction
Some time ago I saw several posts about a machine learning based scheduler for Anki. There is another project known as mnemosyne that conducts research into long term learning. Do you want similar changes to Anki's scheduler?
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?
anki - Anki's shared backend and web components, and the Qt frontend
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.
Anki-Android - AnkiDroid: Anki flashcards on Android. Your secret trick to achieve superhuman information retention.
dekki - An ML based spaced repetition algorithm to help you learn faster and remember longer.
anki-manual - Anki's manual
option-pricer - Option pricing using Black-Scholes model, Bachelier model, Binomial Trees and Monte Carlo simulation under different stochastic processes
SM-15 - Spaced repetition for memorizing tons of things.
Midnight - Midnight Score Probabilities using a Monte Carlo Simulation
roamsr - Spaced Repetition in Roam Research
monaco - Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
ReeePlayer - Anki-like app for spaced repetition of video clips
LearningCards - Simple collaborative online version of learning/flash cards