Lessons From Building A Production App In Two Days

Two days to a working application. Three minutes to a live hotfix. Fifty thousand lines of code with comprehensive tests.
IEEE

Machine-Learning-Based Condition Monitoring of Power Electronics Modules in Modern Electric Drives

Abstract: Integrating machine-learning (ML) models responsible for predicting the evolution of those directly collected or implicitly derived parameters enhances the smartness of industrial systems ...
C&EN

Fe–Al–Si Thermoelectric (FAST) Materials and Modules: Diffusion Couple and Machine-Learning-Assisted Materials Development

State Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350002, P. R. China Article Views are the COUNTER-compliant ...
GitHub

Native Python bindings for btrfs — create filesystems, manage subvolumes and snapshots, mount and unmount. No shell commands, no subprocess, no runtime dependencies beyond libc.

Why not the existing btrfs package? The btrfs package on PyPI requires libbtrfsutil installed as a system library. That means distro packages, broken virtualenvs, and ...
GitHub

Python Module for WAGO 750-xxx series PLCs

This third party Python module provides an abstraction layer for interacting with WAGO 750 series PLCs through Modbus TCP communication. It offers an object-oriented interface to control and monitor ...
IEEE

Enhancing Active Learning With Semi-Supervised Loss Prediction Modules

Abstract: In recent years, deep learning techniques have substantially improved across numerous applications. However, these advancements come with the requirement for extensive human-labeled data, ...