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PoPPy is a Point Process toolbox based on PyTorch, which achieves flexibledesigning and efficient learning of point process models. It can be used forinterpretable sequential data modeling and analysis, e.g., Granger causalityanalysis of multi-variate point processes, point process-based simulation andprediction of event sequences. In practice, the key points of pointprocess-based sequential data modeling include: 1) How to design intensityfunctions to describe the mechanism behind observed data? 2) How to learn theproposed intensity functions from observed data? The goal of PoPPy is providinga user-friendly solution to the key points above and achieving large-scalepoint process-based sequential data analysis, simulation and prediction.

PoPPy: A Point Process Toolbox Based on PyTorch