python

Learn how to Quickly build Generative AI applications with Amazon Bedrock

Production RAG System Course

从零搭建大模型知识库(Build LLM RAG Corpus from scratch)

🐊 Snappy's unique approach unifies vision-language late interaction with structured OCR for region-level knowledge retrieval. Like the project? Drop a star! ⭐

Create high-fidelity Codex companions from 2+ photos with local open-weight neural editing and no OpenAI API key.

Tutorials and my solutions to the Udacity NLP Nanodegree

Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

Langchain chat with memory and a GUI made in Streamlit

This is a Python application that allows you to load a PDF and ask questions about it using natural language. The application uses a LLM to generate a response about your PDF. The LLM will not answer questions unrelated to the document.

AI-powered text compression library for RAG systems and API calls. Reduce token usage by up to 50-60% while preserving semantic meaning with advanced compression strategies.

An autonomous, context-aware AI desktop companion. Built with Python, featuring real-time screen vision, custom ONNX voice synthesis, active window tracking, and a dynamic floating UI with reactive facial expressions.

openai/whisper + extra features

💡✨ Zotero, RAG, MCP, and deep research

Implementation of Perceiver, General Perception with Iterative Attention

Some words that LLM regularly uses

The AI runtime that turns your framework functions into OpenAI compatible endpoints

A simple matrix bot that supports image generation and chatting using ChatGPT

Multi-modal AI-generated content detection: image, video, and audio. Benchmarks, training code (DINOv2, DINOv3, ReStraV, BreathNet), and evaluation pipeline for real vs. synthetic classification with calibration-aware metrics.

Build a 100% local Retrieval Augmented Generation (RAG) system with Python, LangChain, Ollama and ChromaDB!

Using Langchain and OpenAI to analyse resume