mnemosyne
simple-spaced-repetition
mnemosyne | simple-spaced-repetition | |
---|---|---|
19 | 4 | |
480 | 11 | |
2.3% | - | |
7.3 | 6.4 | |
12 days ago | 4 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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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?
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?
anki - Anki's shared backend and web components, and the Qt frontend
vocabsieve - Simple sentence mining tool for language learning
Anki-Android - AnkiDroid: Anki flashcards on Android. Your secret trick to achieve superhuman information retention.
flashcards-obsidian - 🎴 An Anki plugin for Obsidian.md
anki-manual - Anki's manual
fsrs4anki - A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
SM-15 - Spaced repetition for memorizing tons of things.
yomitan - Japanese pop-up dictionary extension for Chrome and Firefox. Fork of yomichan.
roamsr - Spaced Repetition in Roam Research
ReeePlayer - Anki-like app for spaced repetition of video clips
notebook - Tool for Thought. ʚɞ
PythonStdioGames - A collection of text-based games written in Python 3 that only use "standard i/o".