load_ipfs_pytorch_model
emdash
| load_ipfs_pytorch_model | emdash | |
|---|---|---|
| 1 | 7 | |
| 1 | 116 | |
| - | - | |
| - | 8.3 | |
| over 2 years ago | 3 months ago | |
| Jupyter Notebook | Elm | |
| - | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
load_ipfs_pytorch_model
emdash
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Building an Open Source Decentralized E-Book Search Engine
I have a side project that aims to organize your ebook highlight collections with on-device semantic search. [1] Right now it only indexes your own content but I'd like to add a mode that allows you to share your collection and let others find relevant ideas via semantic search -- a discovery platform for ideas found in books. It's open source if you want a sense of how it works now. [2]
[1] https://emdash.ai/
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Ask HN: Show me your half baked project
Two personal projects I'd like to get fully-baked eventually:
https://emdash.ai
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Writing summaries is more important than reading more books
I built a tool for myself for the purpose of grokking ideas from books called Emdash [1]. Over the years I've collected reams of highlights from books and articles but until recently, rarely reviewed or absorbed them. The core of this app uses on-device ML to show related passages with similar ideas from other books you've read, and I find that going broad and exploring concepts from different angles really helps in comprehension.
I'm testing out a summarization/rephrase feature backed by LLMs that you can try in the demo. In HN fashion I'm trying to build this openly and gather feedback to see what works. I'd like to push this further in the active direction the article mentions with something like a Socratic dialogue mode where you're nudged to re-explain and examine ideas.
If anyone uses this thing/has feedback, let me know. Source is available too [2].
[1] https://emdash.ai
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This week's top indie A.I projects, launches and resources
Emdash - Use on-device AI to learn more from your book/article highlights.
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Show HN: Use on-device AI to learn more from your book/article highlights
And the source of course: https://github.com/dmotz/emdash
- Ask HN: How do you synthesize books that you read?
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