Standard Notes
Joplin
OneNote
Evernote
Google Keep
Simplenote
Obsidian.md
Notion
Scale Nucleus
Aquarium
PerceptiLabs
ML Image Classifier
Pixave
Pretrained AI
Google Cloud TPUs
Roboflow Universe
Standard Notes Scale NucleusBased on our record, Standard Notes seems to be a lot more popular than Scale Nucleus. While we know about 128 links to Standard Notes, 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.
This certainly could be useful for me personally, but it would need more functionality. I think the _full_ project could be very useful though. However I would ask, how is this different from e.g. https://standardnotes.com/ and other note systems available ? - Source: Hacker News / 5 months ago
Standard Notes - Fully Private and Secure with Multiple different Editors and Backup options including Self hosting. Source: 7 months ago
I've been using Standard Notes'[0] free tier for a while now without issues. Far superior to Evernote. And apparently EN uses your data for machine learning so they can monetize their free users. Standard operating procedure. [0] https://standardnotes.com/. - Source: Hacker News / 7 months ago
Standard Notes (version 3.178.0): An end-to-end encrypted note-taking app for digitalists and professionals. Source: 9 months ago
- How do I get my data OUT of this thing, if I decide it isn’t right for me? C) If you’re going to go down the “unlike other note-taking platforms” route, it might be valuable to explicitly help people make the comparison in terms of features/approaches/architecture/trade-offs etc. How should one compare this against [Obsidian](https://obsidian.md)? [Simplenote](https://simplenote.com)?... - Source: Hacker News / 11 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
Joplin - Joplin is a free, open source note taking and to-do application, which can handle a large number of notes organised into notebooks. The notes are searchable, tagged and modified either from the applications directly or from your own text editor.
Aquarium - Improve ML models by improving datasets they’re trained on
OneNote - Get the OneNote app for free on your tablet, phone, and computer, so you can capture your ideas and to-do lists in one place wherever you are. Or try OneNote with Office for free.
PerceptiLabs - A tool to build your machine learning model at warp speed.
Evernote - Bring your life's work together in one digital workspace. Evernote is the place to collect inspirational ideas, write meaningful words, and move your important projects forward.
ML Image Classifier - Quickly train custom machine learning models in your browser
