docker

This repo contains almost everything about Generative Ai

Miscellaneous codes and writings for MLOps

Text Summarization using Transformer on GPU Docker Deployment

An offline CPU-first low-resource chat application to perform RAG on your corpus of data. Powered by OpenChat and CTranslate2.

Dockerized FastAPI wrapper for OmniVoice — zero-shot TTS for 600+ languages with voice cloning, voice design, and OpenAI-compatible API. GPU & CPU support.

Local RAG app with zero-config Docker setup. FastAPI + Streamlit + Qdrant + Ollama. Just run `docker-compose up --build`! 🚀

The notebooks & projects code for Generative for Backend Dev online bootcamp

🏠 OpenStreetMap, AI import tool for buildings in Poland

Docker&vLLM官方镜像部署DeepSeek模型，在生产环境中提供类OpenAI接口服务。

Kairos: An autonomous development supervisor powered by Context Engineering. It provides a living memory and a contextual constitution for your projects to prevent AI context loss.

Serving large language model with transformers

Agentic radiology report generator for CT abdomen-pelvis · two vision encoders + MLP head · 220 RATE findings · auditable, deterministic, research-only

🧠 Enterprise AI-Enhanced Development Platform with GraphRAG, LlamaIndex, Multi-Tenant Architecture, and Advanced Security & Compliance. Transform your development workflow with persistent memory, intelligent automation, and 99.9% uptime.

Recommendation Model using Milvus vector db

🍯 自进化 AI 能力研究平台：蜜罐系统 → 沙箱评测引擎 → 训练数据集与 LoRA 微调流水线 / Self-Evolving AI Security Research Platform

项目描述：为解决电商客服在物流、售后等高频咨询场景下，人工重复查询、知识定位慢及信息需反复核对等痛点，搭建 Agent 智能客服系统。通过意图分流、业务工具调用与 RAG 知识库检索，完成订单物流查询、售后信息收集和商品问答，提升响应效率与回答准确性。

Generate novel text - novel finetuned from skt KoGPT2 base v2 - 한국어

AI-powered emotion detection & personalized recommendations using NLP and machine learning

A fast CPU-first video/audio transcriber for generating caption files with Whisper and CTranslate2, hosted on Hugging Face Spaces.

Containerized self-hosted REST API for vision classification, utilizing Hugging Face transformers.