Abstract: The reuse and integration of existing code is a common practice for efficient software development. Constantly updated Python interpreters and third-party packages introduce many challenges ...

Abstract: Probabilistic graphical models are useful for modelling stochastic phenomena for doing inferences and reasoning under uncertainty. Especially, chain graph models and Bayesian networks can be ...

StatsPAI is the agent-native Python package for causal inference and applied econometrics. One import, 390+ functions, covering the complete empirical research workflow — from classical econometrics ...

Detailed guide on loading YOLOv5 from PyTorch Hub. Includes examples & tips on inference settings, multi-GPU inference, training and more. Ultralytics, YOLOv5 ...