my-CS-Notebook
A cache for Competitive Programming, Computer Science Problems (by dangkhoadl)
memorize
Code and real data for "Enhancing Human Learning via Spaced Repetition Optimization", PNAS 2019 (by Networks-Learning)
my-CS-Notebook | memorize | |
---|---|---|
1 | 3 | |
3 | 173 | |
- | 3.5% | |
5.5 | 0.0 | |
4 months ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
- | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
my-CS-Notebook
Posts with mentions or reviews of my-CS-Notebook.
We have used some of these posts to build our list of alternatives
and similar projects.
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What is a good study technique or schedule to study for Leetcode?
Take note. I have a habit to take down some of the interesting problems and save them as completion or achievement on github: https://github.com/dangkhoadl/my-CS-Notebook/tree/master/Notes_on_Problems
memorize
Posts with mentions or reviews of memorize.
We have used some of these posts to build our list of alternatives
and similar projects.
- Understanding specific scientific paper with algorithm for spaced repetition learning
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I think the spaced repetition community should up it's research game, and implement the findings.
It's been long known to researchers that longer interval usually = better retention, with no clear diminishing returns, yet Anki's default intervals are extremely short. Most Anki bloggers and "influencers" give advice about Anki settings based on personal experience and gut feelings, even though we have OPEN DATA, even by Duolingo, analyzed with state of the art statistical methods demonstrating that there is much improvement to be made.
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From refold Anki settings to machine learning; few reflections on Anki algorithm
Source code: https://github.com/Networks-Learning/memorize
What are some alternatives?
When comparing my-CS-Notebook and memorize you can also consider the following projects:
fsrs4anki - A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm