SM-15
mnemosyne
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SM-15 | mnemosyne | |
---|---|---|
1 | 19 | |
157 | 474 | |
- | 2.1% | |
0.0 | 7.3 | |
about 9 years ago | 7 days ago | |
CoffeeScript | Python | |
MIT License | GNU General Public License v3.0 or later |
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.
SM-15
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Want to Remember Everything You'll Ever Learn? Surrender to This Algorithm
Unfortunately there's no single good source for this; 30% is just an approximate aggregate figure I've come up with after seeing various people's posts on different sites.
Some things I could find just now:
Anki vs. SM-8: https://anki.tenderapp.com/discussions/effective-learning/12...
SM-2 vs. SM-17: https://supermemo.guru/wiki/Universal_metric_for_cross-compa...
Anki vs. custom machine learning scheduler: https://old.reddit.com/r/Anki/comments/d0i8uy/improved_algor...
Anki vs SM-17: https://unrelatedwaffle.medium.com/battle-of-the-spaced-repe...
SuperMemo seems to fall behind Anki in the short term (<6 months), but eventually makes up for it. Some of the links reflect that.
As for open-source implementations, there this: https://github.com/slaypni/SM-15
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.
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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?
What are some alternatives?
anki-manual - Anki's manual
anki - Anki's shared backend and web components, and the Qt frontend
Anki-Android - AnkiDroid: Anki flashcards on Android. Your secret trick to achieve superhuman information retention.
roamsr - Spaced Repetition in Roam Research
ReeePlayer - Anki-like app for spaced repetition of video clips
lossless-cut - The swiss army knife of lossless video/audio editing
PythonStdioGames - A collection of text-based games written in Python 3 that only use "standard i/o".
notebook - Tool for Thought. ʚɞ