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|GNU Lesser General Public License v3.0 only||MIT License|
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Tracking mentions began in Dec 2020.
[D] How to be more productive while doing Deep Learning experiments?
10 projects | reddit.com/r/MachineLearning | 25 Feb 2021
Yes for deciding the order of experiments, I also like a Kanban board, like the other commenter suggested. There is a VSCode plugin that displays the content of a TODO.md as kanban board: https://github.com/coddx-hq/coddx-alpha
What are some alternatives?
TaskBoard - A Kanban-inspired app for keeping track of things that need to get done. (Don't forget to read the Wiki page!)
detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
vscode-highlight - Advanced text highlighter based on regexes. Useful for todos, annotations etc.
Kolan - A collaborative Kanban manager with nested boards
orbital - 🛰 A desktop app that allows you to search, filter, and preview video files on your computer - like YouTube for your local file system.
Collect - A server to collect & archive websites that also supports video downloads
todo.md - TODO.md file format - todomd.org
embedme - Utility for embedding code snippets into markdown documents
store - A beautifully-simple framework-agnostic modern state management library.
aim - Aim 💫 — easy-to-use and performant open-source ML experiment tracker.
jotai - 👻 Primitive and flexible state management for React
vscode-django - Beautiful syntax and snippets for perfectionists with deadlines