A method for obtaining the Bayesian network (BN) representation of a sensor's measurement process is developed so that the problems of sensor fusion and management can be approached from a unified ...

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

DoWhy is a Python library for causal inference that supports explicit modeling and ... gaussian-processes bayesian-networks deep-networks gradient-flow jax infinite-networks training-dynamics ...

do-mpc is a comprehensive open-source toolbox for robust model predictive control (MPC) and moving horizon estimation (MHE).do-mpc enables the efficient formulation and solution of control and ...

In this paper, we present a novel sparse Bayesian learning (SBL) framework for large-scale image recovery. We formulate variational Bayesian (VB) and generalized approximate message passing (GAMP) ...

Finding low-energy molecular conformers is challenging due to the high dimensionality of the search space and the computational cost of accurate quantum chemical methods for determining conformer ...

Physics and Python stuff. ... Python Physics; Modeling an Exploding Spring in Different Reference Frames. Posted: June 2, 2025 | Last updated: June 2, 2025.

Oosterlee, C.W. and Grzelak, L.A. (2020) Mathematical Modeling and Computation in Finance with Exercises and Python and MATLAB Computer Codes. World Scientific Publishing Europe Ltd. Login.

Two-dimensional electronic spectroscopy (2DES) can provide detailed insight into the energy transfer and relaxation dynamics of chromophores by directly measuring the nonlinear response function of ...