ebisu
anki
ebisu | anki | |
---|---|---|
4 | 1,149 | |
303 | 17,598 | |
- | 2.2% | |
0.0 | 9.8 | |
4 months ago | about 22 hours ago | |
Python | Rust | |
The Unlicense | 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.
ebisu
-
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.
-
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.
-
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/ "
-
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.
anki
-
How to Speak Fluent English?
Try the Anki system…there was someone who learned over 10 languages with that method:
https://apps.ankiweb.net/
-
I am building Anki for spaced repetition but Better (RepIt)
And here is the source code for Anki: https://github.com/ankitects/anki
If you want to convince people to use your spaced repetition software over Anki, you need to tell us what's so wrong with Anki that can't be fixed with plugins and that's worth $10 per year.
You must demonstrate value above what Anki does.
I look at your list of projects in https://0xdev.gumroad.com/ and they're all pre-order of things that already exist elsewhere. To me, this smacks of "give me money, and I'll give you promises." Especially the project https://0xdev.gumroad.com/l/HelpFundMe?layout=profile
You want something for free? I'll give you something for free.
Anki absolutely can be improved. For new users, it's very confusing: having multiple decks, the separation between cards and notes, and the search interface are hard for new users.
Combine something that is simpler for new users with a demonstrably better algorithm and you might have a minimally viable product. But you need the product FIRST before you request money.
Give us something that we can run for one week and know that it's better than the free software that is Anki.
- Inglês para Brasileiros: Um Novo Começo
- Duolingo Sucks, Now What?
-
Memorizing a programming language using spaced repetition software (2013)
This support landed late last year as part of https://github.com/ankitects/anki/releases/tag/23.10
> .apkg imports are able to merge changed notetypes, and can exclude scheduling data
- Anki – Powerful, intelligent flash cards
- Applikaatio esimerkiksi matematiikan kertaamiseen/oppimiseen aivottoman selaamisen sijaan?
-
Suggest to me some uses for reWASD
My main use case is for managing my Azeron Cyborg profiles. And recently I have been experimenting with using the mobile controller feature to help do Anki spaced repetition reviews.
-
How can I learn Hindi?
Anki Flashcards
- I got drunk and made defensive stat flash cards for all FE pokes in current existance, enjoy
What are some alternatives?
option-pricer - Option pricing using Black-Scholes model, Bachelier model, Binomial Trees and Monte Carlo simulation under different stochastic processes
mnemosyne - Mnemosyne: efficient learning with powerful digital flash-cards.
dekki - An ML based spaced repetition algorithm to help you learn faster and remember longer.
AZ-104-MicrosoftAzureAdministrator - AZ-104 Microsoft Azure Administrator
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.
AWS-SAA-C02-Study-Guide - How to become a certified AWS Solutions Architect
Midnight - Midnight Score Probabilities using a Monte Carlo Simulation
orbit - Experimental spaced repetition platform for exploring ideas in memory augmentation and programmable attention
monaco - Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
obsidian-excalidraw-plugin - A plugin to edit and view Excalidraw drawings in Obsidian
LearningCards - Simple collaborative online version of learning/flash cards
Anki-Android - AnkiDroid: Anki flashcards on Android. Your secret trick to achieve superhuman information retention.