Minimal CPU-only Ollama Docker Image

🦙 chat-o-llama: A lightweight, modern web interface for AI conversations with support for both Ollama and llama.cpp backends. Features persistent conversation management, real-time backend switching, intelligent context compression, and a clean responsive UI.

An LLM-based content moderator. Firefox extension to block webpages unrelated to work, based on page title and URL. Local LLMs with Ollama and Langchain to ensure your browsing history never leaves your device, for complete privacy. Google Gemini also supported.

A high-performance Python library for extracting structured content from PDF documents with layout-aware text extraction. pdf_to_json preserves document structure including headings (H1-H6) and body text, outputting clean JSON format.

Image Classification with On-Device Inference, built with Flutter, AI model runs on mobile cpu

Ternsig Virtual Mainframe Runtime (TVMR) — extensible VM with 10 standard extensions (121 instructions), Signal ISA, mastery learning, hot-reload firmware, and thermogram persistence.

CPU-friendly experience-based reasoning framework combining meta-learning (MAML), state space models (SSM), and memory buffers for fast few-shot adaptation. Pure NumPy implementation for edge devices and low-compute environments.

A new one shot face swap approach for image and video domains - version tailored to work on CPU

CPU-optimized RAG pipeline reducing latency 2.7× (247ms → 92ms). Implements caching, filtering, quantization for production. Complete with FastAPI, Docker, benchmarks, investor materials. The engineering showcase that sells itself.

Face Detection service, super fast inference with a nano model

A lightweight reproduction and analysis inspired by recent work on presentation-aware deepfake / spoofing detection, with a focus on codec-induced presentation mismatch (AMR) under CPU-only constraints.

Chat-O-Llama is a user-friendly web interface for managing conversations with Ollama, featuring persistent chat history. Easily set up and start your chat sessions with just a few commands. 🐙💻