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An automated document analyzer for Paperless-ngx using OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible Services to automatically analyze and tag your documents.
Exploratory computational investigations into the geometry of conscious states, bridging Integrated Information Theory, category theory, and information geometry.
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
Higher performance OpenAI LLM service than vLLM serve: A pure C++ high-performance OpenAI LLM service implemented with GPRS+TensorRT-LLM+Tokenizers.cpp, supporting chat and function call, AI agents, distributed multi-GPU inference, multimodal capabilities, and a Gradio chat interface.
This project automates question solving using AI and OCR. Instead of scraping text from websites, the system captures screenshots of questions, uses OCR to extract text, and then feeds it to the Phi-4 Mini AI model to generate accurate answers and code solutions automatically.
Phi φ is a modern superset of PHP that introduces strong typing, advanced OOP features, and a Blade-inspired templating system while maintaining full PHP compatibility.