Skip to content

Zisis-Katsaros/deepBER

Repository files navigation

deepBER

Setup

This project is best run inside a virtual environment so its Python packages stay isolated from your system installation. Inside the project root:

Windows

  1. Create and activate a virtual environment:

    py -3.12 -m venv .venv
    .\.venv\Scripts\Activate.ps1
  2. Upgrade pip and install the project dependencies:

    python -m pip install --upgrade pip
    pip install -r requirements.txt
  3. Run the project entry point:

    python main.py

Notes

  • Use a Python version supported by the PyTorch build you install. In practice, Python 3.11 or 3.12 is usually the safest choice for this project.
  • torch installation depends on your Python version and whether you want CPU or GPU support. If the default install fails, follow the official PyTorch installation instructions for your platform.

About

Master Thesis: Prediction of BER between Chiplets using Deep Nural Network

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages