AIMET GitHub pages documentation
AI-powered Quantitative Investment Research Platform.
[DAC'24] EmMark: Robust Watermarks for IP Protection of Embedded Quantized Large Language Models
🌐 Run GGUF models directly in your web browser using JavaScript and WebAssembly for a seamless and flexible AI experience.
A self-contained AI project that runs a quantized Large Language Model (Qwen2.5-0.5B) entirely on your local machine. Built with FastAPI and llama-cpp-python, this agent intelligently switches between standard chat and "Search Mode" to fetch real-time data from the internet. The project features a responsive HTML/CSS/JS frontend and is fully Docker
The Automated Waste Classification System is a web-based application designed to identify and categorize waste materials automatically using machine learning. It helps users efficiently sort waste into categories like glass, plastic, cardboard, etc., promoting recycling and proper waste management.
Fast, memory-efficient LoRA fine-tuning toolkit for meta-llama/Llama-3.2-3B-Instruct using Unsloth + export to GGUF / merged HF formats.
AI-Powered Vocabulary Quiz Generator: A full-stack RAG application leveraging a fine-tuned Flan-T5 model and Pinecone Vector DB to generate dynamic English quizzes. Features ONNX quantization for high-speed CPU inference, a 7,100+ word curated dataset, and a secure Docker deployment on AWS EC2 with Nginx/SSL.
🤖 Optimize your futures trading with LLM-TradeBot, an intelligent multi-agent system leveraging adversarial strategies for high win rates and low drawdowns.
Professional medical AI assistant powered by GPT-NeoX-20B with 4-bit quantization optimization, Flask web interface, and Docker deployment support
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