Installation

fluke is available on PyPI.

To install fluke, you can use pip:

pip install fluke-fl

When installing fluke, the following dependencies are installed:

• numpy: for numerical operations;

• pandas: for handling data;

• scikit-learn: for specific functionalities, like Kernel Density Estimation;

• torch: for managing tensors and neural networks;

• torchmetrics: for metrics computation;

• torchvision: for datasets and models;

• rich: for rich console output;

• typer: for command-line interface;

• wandb: for experiment tracking;

• ‘datasets’: for datasets loading;

• psutil: for system monitoring;

• tensorboard: for experiment tracking;

• clearml: for experiment tracking;

• matplotlib: for plotting;

• seaborn: for plotting;

• opacus: for differential privacy;

• diskcache: for caching;