Based on our record, calibre seems to be a lot more popular than Scale Nucleus. While we know about 549 links to calibre, we've tracked only 2 mentions of Scale Nucleus. 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.
Very neat. I've been doing this with Calibre (https://calibre-ebook.com/), which involves plugging it into your PC via USB. Simple RSS feeds work with little configuration, and more complicated news sites require writing a custom python "recipe". This project uses Amazon's email gateway, which I think is limited to 25 articles per month (don't quote me on this). - Source: Hacker News / 11 days ago
Lol. One of good cross platform example is Calibre [1], built with Python and Qt. And it’s the only one I carried with me from Windows XP/10 to macOS, through Linux. Another is Sublime Text. [1]: https://calibre-ebook.com/. - Source: Hacker News / about 2 months ago
>I'd prefer for it to work as USB stick like other ebooks do Have you tried Calibre? https://calibre-ebook.com/. - Source: Hacker News / about 2 months ago
Kobos[1] and Pocketbooks[2] are a lot more open than Kindles. AFAIK you can transfer .epub files into both devices and these epubs are perfectly readable via the stock OS. If for some reason you find the stock proprietary OS lacking, you can install an open source one like KOreader [3] or Plato[4] Of course you want a good way of organizing epubs pdfs mobi, and like has already been mentioned Calibre[5] is a great... - Source: Hacker News / 3 months ago
You can manage the files with Calibre[1] and sync them onto an e-reader like the Kobo with a click. [1] https://calibre-ebook.com/. - Source: Hacker News / 3 months ago
At Scale we built a tool for model debugging in computer vision called Nucleus (scale.com/nucleus) designed exactly for this, which is free try out if you're curious to see where your model predictions are most at odds with your ground truth. Source: over 2 years ago
To address your point about gathering edge cases, which can also be defined as cases of low model fidelity for our use cases, there is active learning and tools such as Aquarium Learning and Scale Nucleus which make it easy to implement into workflows. Source: almost 3 years ago
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