marker
llama-hub
| marker | llama-hub | |
|---|---|---|
| 8 | 5 | |
| 8,225 | 3,359 | |
| - | - | |
| 7.8 | 9.6 | |
| 4 days ago | 2 months ago | |
| Python | Jupyter Notebook | |
| GNU General Public License v3.0 only | 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.
marker
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LlamaCloud and LlamaParse
You may want to try https://github.com/VikParuchuri/surya (I'm the author). I've only benchmarked against tesseract, but it outperforms it by a lot (benchmarks in repo). Happy to discuss.
You could also try https://github.com/VikParuchuri/marker for general PDF parsing (I'm also the author) - it seems like you're more focused on tables.
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Show HN: Texify – OCR math images to LaTeX and Markdown
Hi HN - I made texify to convert equations to markdown/LaTeX for my project marker [1] then realized it could be generally useful.
Texify converts equations and surrounding text to Markdown, with embedded LaTeX (MathJax compatible).
You can either use a GUI to select equations (inline or block) from PDFs and images to convert, or use the CLI to batch convert images. It works on CPU, GPU, or MPS (Mac).
The closest open source comparisons are pix2tex and nougat - marker is more accurate than both of them for this task. However, nougat is more for entire pages, and pix2tex is more for block equations (not inline equations and text).
I trained texify for 2 days on 4x A6000 GPUs - I was pleasantly surprised how far I could get with limited GPU resources by reframing the problem to use small parameter counts/images.
Texify is licensed for commercial use, with the weights under CC-BY-SA 4.0. Fine them here - https://huggingface.co/vikp/texify .
See the texify repo for more details, benchmarks, how to install, etc.
[1] https://github.com/VikParuchuri/marker
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Show HN: Talk to any ArXiv paper just by changing the URL
https://github.com/VikParuchuri/marker
Both are tools to convert pdfs into Latex or Markup with latex formulas. Maybe that helps
- FLaNK Stack Weekly 11 Dec 2023
- Marker: Convert PDF to Markdown quickly with high accuracy
- FLaNK Stack for 04 December 2023
llama-hub
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LlamaCloud and LlamaParse
mean_faithfulness_score 0.667
Notably, the faithfulness score I measured for the baseline solution was actually higher than that reported for your proprietary LlamaParse based solution.
[1] https://github.com/run-llama/llama-hub/tree/main/llama_hub/l...
- Llama Hub
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A Comprehensive Guide for Building Rag-Based LLM Applications
My favorite example is the asana loader[0] for llama-index. It's literally just the most basic wrapper around the Asana SDK to concatenate some strings.
[0] - https://github.com/emptycrown/llama-hub/blob/main/llama_hub/...
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Outlook local calendar loader for LlamaIndex now in LLamaHub
My loader to get events from the local version of an Outlook calendar into documents suitable for LLamaIndex indexing is now available on github.. Like other loaders (there are a lot of them), it's available at https://github.com/emptycrown/llama-hub To make it easy for developers, this loader has a superset of the functions the Google calandar loader has and the same defaults. Since it works off the local calendar, however, no apikeys are needed. This is Windows only.
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Hello, is there a "BEST OF" prompts list here somewhere?
LLAMA GitHub repository
What are some alternatives?
voyager - 🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.
gpt_index - LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. [Moved to: https://github.com/jerryjliu/llama_index]
llmsherpa - Developer APIs to Accelerate LLM Projects
LLMStack - No-code platform to build LLM Agents, workflows and applications with your data
PyMuPDF - PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
model.nvim - Neovim plugin for interacting with LLM's and building editor integrated prompts.
node-gtk - GTK+ bindings for NodeJS (via GObject introspection)
vectara-answer - LLM-powered Conversational AI experience using Vectara
FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...
llm-applications - A comprehensive guide to building RAG-based LLM applications for production.
langchain4j - Java version of LangChain
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]