pandas, numpy, scipy, statsmodels, econml, causalml, matplotlib, seaborn# Clone the repository
git clone https://github.com/KhipuResearch/KASS.git
cd KASS
# Create a virtual environment (recommended)
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
Start with the method that matches your data structure. Each notebook includes detailed methodology sections explaining not just how to implement the estimator, but why the approach works and when it’s appropriate.
Fork the repository, adapt the relevant notebook to your data and question, modify the specifications as needed. The code is structured to make this straightforward.
These notebooks demonstrate core analytical capabilities. The platform adds data connectivity, automated pipelines, collaboration features, and production-grade infrastructure around these methods.