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Based on our record, Joplin seems to be a lot more popular than PostgresML. While we know about 358 links to Joplin, we've tracked only 7 mentions of PostgresML. 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.
What is this providing over similarly Markdown based open source note taking applications like Joplin? (https://joplinapp.org/) I've been a huge fan of the fact that my backend sync infrastructure is my own self-hosted S3 bucket with local clients handling the presentation layer. - Source: Hacker News / about 2 months ago
Shout out to Joplin (https://joplinapp.org/), which I use on a daily basis. It does most of what Obsidian does but has a free sync version where you just use your cloud drive as the storage. The main thing missing, from what I've found, is that it does do the "notes mind map". But I never really found that useful. - Source: Hacker News / 3 months ago
I use Joplin (https://joplinapp.org) on mobile and pc(windows and Linux). Joplin has a free encrypted sync via OneDrive. - Source: Hacker News / about 1 year ago
Joplin Official Website My current workhorse for fast, reliable notes. - Source: dev.to / about 1 year ago
Thanks! I built the editor using Tiptap (https://tiptap.dev/) does something similar. I'll think about this for sure, especially since I've been thinking of making it possible to save and read local files. If you'd like to try Gorby, send me an email and I'll be happy to give you a free license code :). - Source: Hacker News / over 1 year ago
The web service supports generating embeddings from OpenAI and Ollama AI models. It also provides a fallback for users without access to AI models running on a remote server through PostgresML. - Source: dev.to / over 1 year ago
That's outside of the database, though. This is more like what I had in mind -- I just found it: https://postgresml.org/. - Source: Hacker News / about 2 years ago
Some excellent tools were created to represent these tasks "naturally" in SQL and even let most of the computation happen inside the database. PostgresML is a great example. It's built above PostgreSQL and provides a set of functions that allow you to train and use machine learning models with SQL. Here's how you can train a classification model for the classic handwritten digit recognition problem:. - Source: dev.to / over 2 years ago
PostgresML | You know Postgres. Now you know machine learning โ PostgresML. - Source: dev.to / over 2 years ago
You can swap in almost any open-source model on Huggingface. HuggingFaceH4/zephyr-7b-beta, Gryphe/MythoMax-L2-13b, teknium/OpenHermes-2.5-Mistral-7B and more.If you haven't seen us here before, we're PostgresML, an open-source MLOps platform built on Postgres. We bring ML to the database rather than the other way around. Source: over 2 years ago
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