Special course in Responsible AI @ DTU
Clone the repository and create a virtual environment (with Python 3.10). A pre-defined environment running with CUDA 11.6 can be created like:
Run the following:
conda create -n fairness_ai python=3.10
Install the dependencies:
pip install -r requirements.txt
If running on CPU install Pytorch with the following command:
pip3 install torch torchvision torchaudio
If running on GPU with CUDA 11.6 install Pytorch with the following command:
pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu116
├── README.md <- The top-level README for developers using this project.
├── data
│ └── catalan_data_course <- The original, immutable data dump.
│
├── setup.py <- makes project pip installable (pip install -e .) so src can be imported
├── src <- Source code for use in this project.
│ ├── __init__.py <- Makes src a Python module
│ │
│ ├── data <- Scripts to download or generate data
│ | ├── __init__.py
│ │ └── dataloader.py
│ │
│ └── models <- Scripts to train models and then use trained models to make
│ │ predictions
│ ├── __init__.py
│ ├── model.py
│ └── train_model.py
│
└── requirements.txt