Python’s packaging ecosystem is under growing strain as development teams move away from pip in production environments, citing performance bottlenecks, fragile dependency resolution and rising ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

Python developers often need to install and manage third-party libraries. The most reliable way to do this is with pip, Python’s official package manager. To avoid package conflicts and system errors, ...

NVIDIA launches Wheel Variants to streamline CUDA-accelerated Python package installation, addressing compatibility challenges and optimizing user experience across diverse hardware setups. NVIDIA has ...

Department of Mechanical Engineering, Stanford University, Stanford, California 94305, United States Precourt Institute for Energy, Woods Institute for the Environment, and Doerr School of ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

When installing Python libraries, there are two general approaches. One will install packages into the local user library directory, using the pip command, while the other involves creating virtual ...

A new report out today from Fortinet Inc.’s FortiGuard Labs is warning of two newly discovered malicious Python packages that pose a high risk of credential theft, data exfiltration and unauthorized ...

This includes background information on its interaction with the mindLAMP platform, some basic commands to learn what data can be pulled and how, and more advanced use of the package mixed with basic ...