ai-ds-docker-env

🐳 AI & Data Science Dev Environment with Docker Compose

This repo provides a ready-to-use Dockerized environment for AI, Data Science, and Database workflows. It comes with:

• VS Code in the browser (code-server)
• JupyterLab (Data Science & TensorFlow & Pytorch)
• Hugging Face Transformers with GPU support
• Postgres + pgAdmin
• MySQL + MySQL Workbench

Everything is split into modular Compose files for clarity:

• docker-compose.dev.yml → Development & AI/DS tools
• docker-compose.db.yml → Databases & GUIs
• .env → Centralized config (passwords, tokens, etc.)

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📂 Project Structure

.
├── docker-compose.dev.yml     # Dev & AI environment (code-server, Jupyter, AI stacks)
├── docker-compose.db.yml      # Databases (Postgres, pgAdmin, MySQL, etc.)
├── .env                       # Environment variables (passwords, ports, tokens...)
├── notebooks/                 # Jupyter notebooks storage (bind mount or volume)
│   └── example.ipynb
├── workspace/                 # Shared workspace for AI projects & experiments
│   └── project1/
├── pg_data/                   # Postgres data (volume or local bind)
├── mysql_data/                # MySQL data (volume or local bind)
├── pgadmin_data/              # pgAdmin configuration data
└── README.md                  # Documentation for setup & usage

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⚙️ Requirements

• Docker
• Docker Compose
• NVIDIA GPU (optional but recommended) with NVIDIA Container Toolkit

---

🔑 Configuration

All sensitive values are stored in .env. Example:

# Database
POSTGRES_PASSWORD=myPassword
PGADMIN_DEFAULT_EMAIL=[email protected]
PGADMIN_DEFAULT_PASSWORD=myPassword

# Jupyter
JUPYTER_TOKEN=myToken

# MySQL
MYSQL_ROOT_PASSWORD=myPassword