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[CVPR 2025 Highlight] Official code and models for Encoder-only Mask Transformer (EoMT).
Toolkit for linearizing PDFs for LLM datasets/training
Python tool for converting files and office documents to Markdown.
File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
Enterprise-grade and API-first LLM workspace for unstructured documents, including data extraction, redaction, rights management, prompt playground, and more!
Meditron is a suite of open-source medical Large Language Models (LLMs).
Create-tsi is a generative AI RAG toolkit which generates AI Applications with low code.
🌐 The Internet OS! Free, Open-Source, and Self-Hostable.
Open Source codebase of the game Overgrowth by Wolfire Games LLC
Question and Answer based on Anything.
Finetune Llama 4, DeepSeek-R1, Gemma 3 & Reasoning LLMs 2x faster with 70% less memory! 🦥
Tuning and Evaluation of RAG pipeline. (Automated optimization to be added soon)
Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using …
🦜🔗 Build context-aware reasoning applications
DiffSeg is an unsupervised zero-shot segmentation method using attention information from a stable-diffusion model. This repo implements the main DiffSeg algorithm and additionally includes an expe…
Run any Llama 2 locally with gradio UI on GPU or CPU from anywhere (Linux/Windows/Mac). Use `llama2-wrapper` as your local llama2 backend for Generative Agents/Apps.
A community version of the "common API" for how the GitHub Engineering organization communicates
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.