Installation

Basic Installation

You can install PyC with core dependencies from PyPI:

pip install --pre pytorch-concepts

This will install the core library without data-related dependencies (opencv-python, pgmpy, bnlearn, pandas, torchvision, datasets, transformers).

Installation with Data Support

If you plan to use the torch_concepts.data module, install with the data extras:

pip install --pre pytorch-concepts[data]

This will install all dependencies including those required for data loading and preprocessing.

Installation with Full Support (Conda)

For full support including all dependencies for development, experiments, and testing, use the provided conda environment:

git clone https://github.com/pyc-team/pytorch_concepts.git
cd pytorch_concepts
# install and activate conda environment (use environment_silicon.yaml for Apple Silicon chips)
conda env create -f conceptarium/environment.yaml
conda activate conceptarium
# install pyc in editable mode
pip install -e .

This setup is recommended for contributors and users who want access to all functionalities.

Usage

After installation, you can import it in your Python scripts as:

import torch_concepts as pyc