CE-GY-7893 Engineering Applications of Deep Learning Homeworks

Getting Started

git clone https://github.com/Emerge-Lab/CE-GY-7893-Engineering-Applications-of-Deep-Learning-Homeworks.git
cd CE-GY-7893-Engineering-Applications-of-Deep-Learning-Homeworks

Setup

This project supports both uv and Conda for Python package management.

Option 1: Using uv (Recommended)

Install uv

# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Windows
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Install dependencies

uv sync

Activate the environment

source .venv/bin/activate  # macOS/Linux
# or
.venv\Scripts\activate     # Windows

Alternatively, you can run commands directly with uv:

uv run python your_script.py

Option 2: Using Conda

Create and activate environment

conda create -n deep-learning python=3.9
conda activate deep-learning

Install dependencies

# Install pip in the conda environment
conda install pip

# Install dependencies from pyproject.toml
pip install -e .

VS Code Setup (Optional)

For the best experience, we recommend using VS Code with Python support.

Install VS Code Extensions

Install these recommended extensions:

1. Python (by Microsoft) - Useful for Python development
2. Jupyter (by Microsoft) - For working with Jupyter notebooks
3. Pylance (by Microsoft) - Advanced Python language support

You can install them via:

• VS Code Extensions marketplace
• Command line: code --install-extension ms-python.python ms-toolsai.jupyter ms-python.pylance

Configure Python Interpreter

1. Open VS Code in your project directory: code .
2. Open Command Palette (Cmd/Ctrl + Shift + P)
3. Type "Python: Select Interpreter"
4. Choose the appropriate interpreter:
   • uv users: Select the interpreter from .venv/bin/python (or .venv\Scripts\python.exe on Windows)
   • Conda users: Select the interpreter from your deep-learning environment

Working with Jupyter Notebooks in VS Code

With the Jupyter extension installed, you can:

• Create and edit .ipynb files directly in VS Code
• Run cells interactively with Shift+Enter
• View plots and outputs inline
• Debug notebook cells

Working with Jupyter Notebooks

To work with the homework notebooks:

# Launch Jupyter Lab
uv run jupyter lab

# Then navigate to and open the .ipynb files

If you're not using uv, just launch them the normal way you might a jupyter notebook.