The Stanford NLP Group's official Python NLP library. It contains packages for running our latest fully neural pipeline from the CoNLL 2018 Shared Task and for accessing the Java Stanford CoreNLP ...

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 ...

Market.us Scoop, we strive to bring you the most accurate and up-to-date information by utilizing a variety of resources, including paid and free sources, primary research, and phone interviews. Learn ...

Like the idea of a humanoid robot taking care of chores around your home? Well, the dream of having a robot butler serve your needs has come a step closer after 1X Technologies announced on Tuesday ...

Instead of running Python scripts manually for routine tasks, why not automate them to run on their own, and at the time you want? Windows Task Scheduler lets you schedule tasks to run automatically ...

A novel parallel computing framework for chemical process simulation has been proposed by researchers from the East China University of Science and Technology and the University of Sheffield. This ...

Abstract: The application of cluster system has gone deep into all aspects of production and life. The use of the cluster system's cost-effective parallel computing capabilities to solve complex model ...

Generated Excel and PDF reports from data Used openpyxl, reportlab, and pandas for automation Scheduled report generation using cron or schedule module This repository is intended to document the ...