open-parse
mitta-community
open-parse | mitta-community | |
---|---|---|
3 | 12 | |
1,782 | 12 | |
- | - | |
9.2 | 9.7 | |
8 days ago | about 12 hours ago | |
Python | Python | |
MIT License | MIT License |
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.
open-parse
- Show HN: Beyond text splitting – improved file parsing for LLM's
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Running OCR against PDFs and images directly in the browser
I recently built a similar tool except it’s configured to use some deep learning libraries for the table extraction. I’m excited to integrate unitable which has state of the art performance later this week.
I built this because most of the basic layout detection libraries have terrible performance on anything non trivial. Deep learning is really the long term solution here.
https://github.com/Filimoa/open-parse
- Show HN: Open-source, high performance document chunking for LLM's
mitta-community
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Running OCR against PDFs and images directly in the browser
Here's an EasyOCR service: https://github.com/MittaAI/mitta-community/tree/main/service.... A PDF to image processor is being built and should be out in a few weeks.
No docs, but happy to help anyone wanting to use it. Email is kord @ the company I'm working on.
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LaVague: Open-source Large Action Model to automate Selenium browsing
I built this with Playwright and OpenAI's function calling stuff (sorry, no time for docs): https://github.com/MittaAI/mitta-community/tree/main/service...
My thought was to put the results of this in a vector store, with any errors that resulted as opposed to wasting time training a model.
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AI FFmpeg
Source for the FFmpeg build (no AI): https://github.com/MittaAI/mitta-community/tree/main/service...
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An Amount of the Web Is Machine Translated: Insights from Multi-Way Parallelism
I just built a translate pipeline for MittaAI: https://github.com/MittaAI/mitta-community/tree/main/cookboo.... The pipelines crawl and translate any publicly available page. The `translate` pipeline uses Gemini, but could be changed to another model for use.
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Show HN: Talk to any ArXiv paper just by changing the URL
If you want a generalized version, try this: https://github.com/MittaAI/mitta-community/tree/main/cookboo...
The query pipeline isn't that sophisticated, but it could be altered to do page reference and use keyterms first to filter, instead of doing the vector similarity on all data.
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Show HN: Hacker News Activity Analysis with GPT-4 Agent
> A service to preprocess the data with custom prompts would be neat.
It is pretty cool to mess about with it. I posted it last week, but didn't get any nibbles: https://github.com/MittaAI/mitta-community/tree/main/cookboo...
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Gemini Is Google's Best AI Model Yet, but Who Cares?
It doesn't matter if the demos were good or not. Demos don't always go as planned. I've found using Gemini for image scene description and chat works well, and have it running a portion of an image scene to spoken "thoughts" pipeline using ElevenLabs for the voice: https://github.com/MittaAI/mitta-community/tree/main/cookboo...
- Pirate Visualizer Pipeline with Gemini and dalle-3
- Hacker News AI Pipeline for Mitta.ai
- Vision to Speech Pipeline with OpenAI
What are some alternatives?
vanna-streamlit - Vanna AI Streamlit App