SM-2 is a simple spaced repetition algorithm. It calculates the number of days to wait before reviewing a piece of information based on how easily the the information was remembered today.
Space Separated Values. JavaScript library for spaced data. Fun and fast for classnames and beyond 💕
Enhance knowledge retention with spaced repetition using FSRS & SM-2 algorithms, AI-powered MCQ generation, integrated Pomodoro timer, and calendar event manager.
Memorize and revise your notes actively with spaced repetition and retrospective deadlines inside Obsidian. Now featuring Anki export with differential sync and chunking.
This repo hosts the CLI version of Never Forget, a spaced repetition app.
Flashcard project to help develop long-term memory.
AI-powered Anki generation via Claude Code skills + subagents
A simple Obsidian theme to enjoy space and the built-in Accent color
Spaced repetition app
Fill a one-dimensional double-precision complex floating-point ndarray with linearly spaced numeric elements which increment by 1 starting from one.
Fill a one-dimensional double-precision floating-point ndarray with linearly spaced numeric elements which increment by 1 starting from zero.
Fill a one-dimensional single-precision floating-point ndarray with linearly spaced numeric elements which increment by 1 starting from a specified value.
Fill a one-dimensional ndarray with linearly spaced numeric elements which increment by 1 starting from a specified value.
Fill a one-dimensional double-precision floating-point ndarray with linearly spaced numeric elements which increment by 1 starting from a specified value.
Fill a one-dimensional single-precision floating-point ndarray with linearly spaced numeric elements which increment by 1 starting from one.
Fill a one-dimensional double-precision complex floating-point ndarray with linearly spaced numeric elements which increment by 1 starting from a specified value.
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