Based on our record, WordNet should be more popular than Orgzly. It has been mentiond 28 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Use orgzly as my org-agenda, only reads gtd.org, work.org, and calendar.org I have recreated all my org-agenda views I care about as orgzly searches. Source: about 1 year ago
- digital world,, Emacs Org Mode with Orgzly and Syncthing (to synchronize between devices). Source: about 1 year ago
(Orgzly)[https://orgzly.com/], a getaway drug to emacs,with (Syncthing)[https://syncthing.net/]. Source: about 1 year ago
Orgzly - The most featureful. An unfortunate mechanism that can't be turned off saves over your file with re-done spacing -- blank lines are added between headlines automatically, which isn't everyone's style nor is it Org specification. This clogs git, if you're using version control, with changes that are just whitespace. One may notice a toggle to turn off adding blank lines between headlines, but that just... Source: about 1 year ago
There are some decent mobile apps Https://orgzly.com/. Source: about 1 year ago
TL;DR: The authors pretrain the model to classify images into Wordnet synsets[a] that appear in the caption, using a standard Cross Entropy loss. They keep the number of classes relatively small by removing any synsets that don't show up in captions at least 500 times in the dataset. It seems to work well. My immediate question is: Why not classify among the entire hierarchy of all Wordnet synsets? --- [a]... - Source: Hacker News / about 1 month ago
To operationalize this intuition, the Microsoft and UC Berkeley researchers use WordNet and Wiktionary to augment the text in image-text pairs. The concept itself is augmented for isolated concepts, such as the class labels in ImageNet, whereas for captions (such as from GCC), the least common noun phrase is augmented. Equipped with this additional structured knowledge, contrastively pretrained models exhibit... - Source: dev.to / 3 months ago
If you like this, definitely check out WordNet (https://wordnet.princeton.edu/). - Source: Hacker News / 5 months ago
I didn't understand well what you meant, but maybe this site can help you: https://wordnet.princeton.edu/. Source: over 1 year ago
What I'd do is work with a huge database like WordNet and then try to "extrapolate" BIP39 to 4096 words by creating queries against WordNet to obtain words meeting the constraints you'd like to keep. Source: over 1 year ago
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Plain Org - View and edit your org mode tasks while on the go.
WordWeb - One-click lookup in any almost any Windows program; Hundreds of thousands of definitions and synonyms; The latest international English words; Works offline, or reference to Wikipedia and web references.