================== 👨‍🎓 Tutorials ================== **Puncc** offers hands-on notebooks to help you go from *"hello conformal prediction"* to more advanced workflows (NLP, object detection, and time series). Pick a tutorial below and run it either on GitHub or in Google Colab. .. list-table:: :widths: 26 26 26 :header-rows: 1 * - Tutorial - Description - Link * - **Introduction Tutorial** - Get started with the basics of *puncc*. - `Github `__ or `colab `__ * - **API Tutorial** - Learn about *puncc*'s API. - `Github `__ or `colab `__ * - **Tutorial on CP with PyTorch** - Learn how to use *puncc* with PyTorch. - `Github `__ or `colab `__ * - **Conformal Object Detection** - Learn to conformalize an object detector. - `Github `__ or `colab `__ * - **Conformal Text Classification** - Learn to conformalize a pretrained NLP model. - `Github `__ or `colab `__ * - **Conformal Time Series Forecasting** - Learn to conformalize time series models. - `Github `__ or `colab `__ * - **Architecture Overview** - Detailed overview of *puncc*'s architecture. - `Github `__ or `colab `__ How to use these notebooks -------------------------- - **Run on Colab** if you want a zero-install experience (recommended for a quick start). - **Run locally** if you want full control over your environment and dependency versions.